65 Ai Governance Jobs

As a highly motivated Manager in Data & Analytics with a minimum of 8 years of experience, you will be responsible for leading cross-functional teams in designing, developing, and deploying next-generation AI solutions. Your role will require a blend of technical expertise in building GenAI and Agentic AI workflows, strong project management skills, and the ability to manage client relationships and business outcomes. You will oversee the delivery of AI-driven solutions, ensure alignment with client needs, and foster a high-performance culture within the team. Key Responsibilities: - Lead, mentor, and grow a team of AI engineers, data scientists, and solution architects. - Define team goals, set performance expectations, and conduct regular feedback and evaluations. - Foster collaboration, innovation, and knowledge-sharing within the team. - Drive adoption of best practices in AI development, MLOps, and project execution. - Own end-to-end delivery of AI projectsfrom scoping and planning to deployment and monitoring. - Define project roadmaps, allocate resources, and track progress against milestones. - Manage risks, dependencies, and escalations while ensuring timely delivery. - Coordinate with cross-functional stakeholders including product, design, data, and engineering teams. - Act as the primary point of contact for clients, ensuring strong relationships and trust. - Translate client business problems into AI solutions using GenAI and agentic AI frameworks. - Prepare and deliver executive-level presentations, demos, and progress updates. - Negotiate scope, timelines, and deliverables with clients and internal stakeholders. - Shape and refine the strategy for AI adoption, focusing on generative and agentic workflows. - Identify new opportunities for AI-driven automation, augmentation, and decision support. - Evaluate emerging technologies, frameworks, and tools to enhance solution effectiveness. - Partner with business leaders to define success metrics and measure ROI of AI initiatives. - Design, implement, and optimize end-to-end machine learning and LLM pipelines, ensuring robustness, scalability, and adaptability to changing business requirements. - Drive best-in-class practices for data curation, system reliability, versioning, and automation (CI/CD, monitoring, data contracts, compliance) for ML deployments at scale. - Lead the adoption of modern LLMOps and MLOps tooling and principles such as reproducibility, observability, automation, and model governance across our cloud-based infrastructure (AWS, Snowflake, dbt, Docker/Kubernetes). - Identify and assess new business opportunities where applied machine learning or LLMs create impact. Rapidly move concepts from prototype to full production solutions enabling measurable business value. - Collaborate closely with product, engineering, analytics, and business stakeholders to define requirements, set measurable goals, and deliver production-grade outcomes. - Serve as a technical thought leader and trusted advisor, explaining complex architectural decisions in clear, actionable terms to both technical and non-technical stakeholders. - Evangelize engineering best practices and frameworks that enable high-quality delivery, system reliability, and strong data governance. - Translate analytical insights into business outcomes, helping organizations realize the ROI of AI/ML investments. Qualifications & Skills: - Education: Bachelors/Masters degree in Computer Science, Data Science, AI/ML, or related field. - Experience: 8-12 years of total experience, with at least 3-5 years in AI/ML leadership roles. - Proven expertise in Generative AI (LLMs, text-to-X, multimodal) and Agentic AI (orchestration frameworks, autonomous agents, tool integration). - Strong understanding of cloud platforms (AWS/Azure/GCP), LLMOps, and AI governance. - Demonstrated ability to manage large-scale AI/ML projects with multi-stakeholder involvement. - Exceptional communication and client engagement skills. - Experience in people leadershipcoaching, mentoring, and building high-performing teams. At EY, you will be part of a team dedicated to building a better working world by creating new value for clients, people, society, and the planet. Enabled by data, AI, and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. With services in assurance, consulting, tax, strategy, and transactions, EY teams work across a full spectrum of services in more than 150 countries and territories.,

Role Overview: You will be joining the Developer Enablement team within the CTO organization with a focus on revolutionizing how policies, standards, and controls are managed through an "everything-as-code" initiative. Your main responsibility will be to design, develop, and test software applications using Large Language Models and AI capabilities, ensuring high-quality software with exceptional user experiences. Key Responsibilities: - Design, develop, and test software applications leveraging Large Language Models and AI capabilities - Collaborate closely with team members to deliver software on time and within budget - Set standards for excellence in software development and user experiences - Stay updated on software development trends and AI/ML technologies - Ensure software platforms comply with security and Software Development Life Cycle processes - Drive adoption of everything-as-code and codified controls mindset across the organization - Develop robust prompt engineering strategies and AI workflow automation - Integrate and optimize Large Language Model capabilities in production applications Qualifications Required: - Proven experience as a Full-Stack Software Engineer in product-focused teams - Strong experience in delivering production code, preferably in Python, Go, and TypeScript - Experience in agile software development environments - Demonstrated experience with distributed systems, event-driven architectures, microservices, SQL and NoSQL databases, DevSecOps practices Additional Company Details: The team works extensively with Generative AI technologies, such as GPT-4 and Gemini, integrating their capabilities into systems through advanced prompt engineering and API integration. The tech stack includes Python, Go, TypeScript, React, Kubernetes, MongoDB, and Generative AI integrations, requiring adaptability and commitment to continuous learning. You will be encouraged to drive cultural change by fostering a culture of continuous improvement and critical thinking about controls and processes. (Note: Additional details about the company were not explicitly mentioned in the provided job description.),

Role Overview: EY Consulting is currently looking for high-level Consultants Managers and Seniors Managers (F/H) to join their Risk Consulting team in Paris. As part of a multidisciplinary team, you will work on complex projects to help clients improve their performance and manage digital risks. Your responsibilities will include assisting various departments in implementing risk management frameworks for IT and digital risks, establishing AI governance frameworks, analyzing project risks, data quality and security, implementing technological solutions for operational control, modernizing processes in compliance with regulations, and ensuring client compliance with GDPR/AI Act, etc. As a Manager or Senior Manager, you will also be involved in developing client portfolios, creating commercial proposals, participating in consultancy offers, and managing consultant teams. Key Responsibilities: - Work with multidisciplinary teams on complex projects to enhance client performance and manage digital risks - Assist in establishing risk management frameworks for IT and digital risks, AI governance frameworks, and compliance with regulations - Analyze project risks, data quality, and security - Implement technological solutions for operational control and automation with AI - Modernize organization processes and tools in compliance with regulations - Ensure client compliance with GDPR/AI Act, including diagnosing business process compliance and action plans, as well as monitoring compliance key indicators - Develop and maintain your own client portfolio - Participate in developing commercial proposals and consultancy offers - Manage consultant teams Qualifications Required: - Minimum 6 years of experience in audit or consulting firms focusing on AI governance, or as a Machine Learning engineer or Data Scientist, with a strong understanding of business processes - Experience in Responsible AI/Data Privacy and/or AI Ethics is essential - Strong commercial development experience - Fluent in English (oral and written) - Strong problem-solving mindset, excellent analytical skills, good communication and listening skills, service-oriented - High-level education diploma Note: This job description may provide additional details about the company, but since it is not explicitly stated in the JD provided, this section has been omitted.,

At Curriculum Associates, we believe in the potential of every child and are changing the face of education technology with award-winning learning programs like i-Ready that serve a third of the nation's K8 students. Our commitment to making classrooms better places, serving educators, and supporting accessible learning experiences for all students has been driving the continuous improvement of our innovative programs for over 50 years. Our team of more than 2,500 employees, composed of lifelong learners, stands behind this mission and works tirelessly to serve the educational community with world-class programs and support every day. The Privacy and Data Protection Counsel at Curriculum Associates supports the company's global operations and provides advice on data protection matters, particularly focusing on U.S. laws. As the key point of contact on general data protection, privacy, and security-related issues, the Counsel plays a crucial role in the evolution and maintenance of the company's global privacy program and compliance efforts. By proactively managing privacy regulations and risks internationally, the Privacy and Data Protection Counsel safeguards the growing business and the students and educators we serve. **Essential Duties/Responsibilities:** - Providing strategic legal guidance and counseling on a broad spectrum of privacy and data protection issues, with a focus on student data privacy laws at the federal and state levels in the U.S. as well as international laws and compliance obligations. - Supporting the ongoing development and implementation of the company's global data protection and privacy program in alignment with relevant laws and regulations. - Collaborating closely with stakeholders to offer subject matter expertise, guidance, and training related to data protection legal and compliance obligations. - Assisting with and monitoring compliance with the company's data protection and privacy policies, processes, and procedures. - Raising awareness and delivering effective training and guidance to teams across the company to foster best practices and cultivate a culture oriented towards data protection and privacy. - Supporting data governance and compliance efforts, including preparing and overseeing Data Protection Impact Assessments (DPIAs), Data Sharing Agreements (DSAs), and other compliance documentation. - Providing expertise and support on the company's AI governance and compliance efforts in accordance with relevant regulations and best practices. - Advising on measures to protect and safeguard personal data, particularly student data, and assisting with customer conversations on data protection, privacy, and AI. - Supporting other compliance matters and legal functions on an as-needed basis. **Required Job Skills and Abilities:** - Thorough knowledge of global data protection and privacy laws, with a strong emphasis on U.S. state and federal student data privacy laws and best practices. - Expertise in advising on complex data protection and privacy matters, including FERPA, COPPA, GDPR, etc. - Ability to work collaboratively across functions to establish effective solutions efficiently and amicably. - Strong communication skills to translate legal advice into actionable guidance for stakeholders within prescribed timelines. - Practical problem-solving skills, agility, and flexibility in navigating complex data protection and privacy questions in an evolving environment. - Superior analytical and research skills to address challenging matters while maintaining confidentiality. - Ability to take independent action when required and seek assistance as needed, balancing team and individual responsibilities. **Required Education and Experience:** - LLB or Juris Doctor from an accredited law school. - Enrollment with a State Bar Council under the Bar Council of India and/or member of the bar in good standing in at least one U.S. jurisdiction. - Five years of experience in global data protection and privacy, either in a law firm or in-house position. - Familiarity and experience with advising on student data and Ed Tech matters. **Working Environment:** Hybrid (At least 3 days in Office) If you need special assistance or accommodation for a disability to apply for a posted position, please contact our People and Culture department at people@cainc.com for US-based job postings. For India job postings, contact people-india@cainc.com. US-based Candidates: Curriculum Associates uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit: https://www.e-verify.gov/employees/employee-rights-and-responsibilities. Information provided when applying for employment with Curriculum Associates, LLC may be subject to the California Privacy Rights Act.,

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role As a Senior Lead AI Engineer , you will design, build, and deploy cutting-edge AI/ML solutions that power our products and business decisions. You will partner with the data architects to lead the vision for AI initiatives and work with data engineers, data scientists and project managers to deliver impactful and scalable AI systems. You ill ensure that AI models are production ready, secure, and integrated seamlessly into enterprise workflows. Specifically, you'll be responsible for: Design AI-powered solutions, including the integration of AI Agents, to handle complex, repetitive, or decision-driven tasks. Create and optimize generative models such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) for various HR applications Develop and implement POCs using MaaS platforms and AI Agents to showcase their potential value. Configure, train, and deploy AI Agents to interact with systems, perform decision-making, and automate tasks requiring cognitive functions. Leverage MaaS platforms to deploy, monitor, and fine-tune AI models for enterprise shared services automation. Build APIs and pipelines to integrate AI capabilities into existing tools and workflows. Work closely with cross-functional teams to gather requirements, test solutions, and roll out AI-driven systems. Translate technical concepts into actionable insights for both technical and non-technical audiences. Collaborate with analysts and stakeholders to analyze Shared Services workflows and identify high-impact automation opportunities. Stay ahead of trends in AI, including advancements in MaaS platforms, Large Language Models (LLMs), and natural language interfaces. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others. Required Technical and Professional Experience Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field. 5-7 years of experience in AI and machine learning, with exposure to generative models, AI Agents, or multimodal AI. Proficiency in Python and familiarity with AI frameworks such as TensorFlow, PyTorch, or Keras. Strong analytical and problem-solving skills with a passion for tackling real-world AI challenges. Good communication and teamwork skills, with the ability to explain technical ideas to diverse audiences. Experience working in collaborative, cross-functional environments. Bonus points for professional services experience, familiarity with people analytics and workforce management software and tools Proficiency in both spoken and written English is required. Preferred Technical and Professional Experience Experience with generative AI and large language model (LLM) deployment. Familiarity with vector databases (Pinecone, Milvus, Weaviate, FAISS). Knowledge of microservices architecture and API design for AI services. Background in responsible AI and AI governance. Open-source contributions or research publications in AI/ML. Being You Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learningprograms give you access to the best learning in the industry to receive certifications, includingMicrosoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked How Did You Hear About Us during the application process, select Employee Referral and enter your contact's Kyndryl email address.

The Data and AI Governance Leader will play an integral role in orchestrating the governance council and ensuring compliance with governance policies in data, analytics, and AI. Your participation will be instrumental in defining a robust Data and AI Governance Framework, codifying organizational and industry policies into standards, procedures, and technical controls to ensure effective, ethical, and legal use of Data & AI technologies. This leadership position is critical in providing strategic and thought leadership across the company's policies, standards, and procedures related to Data preparation, Data management, Model development, Evaluation, Deployment, Monitoring, and Corrections. You will work closely with legal, ethical, security, branding, IS, and administrative teams, acting as a bridge between policy defining teams and execution teams to define compliance frameworks, risk assessment frameworks, and foster collaboration to implement repeatable, consistent, and efficient practices. You will also facilitate data literacy and training about key information assets across the organization. It is expected that you have a deep industry understanding and expert practitioner experience with governance, including successfully running executive-level governance councils. You will be accountable for strengthening Data and AI governance capabilities in the region to cater to Providence and other partnering health systems. You will provide thought leadership in the development and implementation of data and AI governance strategies aligned with the company's vision and goals. Staying current on existing and evolving Data & AI governance laws and regulations to revise existing policies and procedures and drive alignment with the Organization's Governing Principles will be a key responsibility. Collaborating with compliance, legal, cyber, and other cross-functional teams as needed to ensure Data and AI initiatives comply with relevant laws and regulations is essential. Establishing technical guidelines and frameworks for the development, deployment, and operations teams to assess and manage AI risks will also be part of your duties. Additionally, you will collaborate with executive leadership to define and prioritize governance initiatives and act as a liaison between technology teams and legal, ethical, security, branding, IS, and administrative teams to ensure alignment and effective communication. Your role will involve collaborating with stakeholders from different pillars to lead the setup and structuring of Data & AI governance framework for the Organization. Leading cross-disciplinary teams to ensure alignment and effective implementation of Data & AI governance policies and procedures, overseeing the implementation and maintenance of governance processes for data preparation, management, model development, evaluation, deployment, monitoring, and correction, ensuring the integrity, quality, and security of data and AI models across all stages, and working with the Business, Ethics, and Compliance teams to establish auditable controls and monitor compliance to governing principles are all part of your leadership responsibilities. You will also be responsible for establishing and maintaining clear lines of accountability to ensure compliance with governance standards, creating and maintaining auditable artifacts to document adherence to governance policies and procedures, identifying areas for improvement within the governance framework and driving initiatives to enhance efficiency and effectiveness, conducting risk assessments, identifying potential risks associated with AI usage, defining mitigations, establishing auditable controls, and being the face of Data and AI COE for internal and external audits. Developing training and educational programs that help embrace governance as a way of working will also be part of your duties. Translating company policies, standards, and procedures into actionable technical standards and guidelines, developing frameworks and tools to ensure adherence to governance policies throughout the data and AI lifecycle will also be among your responsibilities. Professional Experience / Qualifications: - Bachelors/ Masters in STEM / Healthcare areas of specialization. - 14+ Years of relevant industry experience. - 5+ Years of hands-on experience in the Data Governance and pillars areas like DQ, MDM, Data Annotation etc. - 3+ years of experience leading high-performing Data / AI Governance teams- hiring, building, and growing. - Strong knowledge of governance principles, privacy laws, and industry-specific regulations (e.g., GDPR, HIPAA, FCRA). - Proven track record of leading Data and AI governance processes in a highly regulated enterprise, preferably in the Healthcare sector. - Deep understanding and working experience of AI/ML, data management systems, regulatory frameworks, and ethical AI practices. - Experience working with cross-functional teams, including data science, engineering, legal, and compliance. - Deep technical understanding of AI systems, model lifecycle management, and associated risks. - Ability to navigate complex regulatory environments and provide pragmatic solutions to governance challenges. - Expertise in risk management frameworks, audit processes, and AI/ML validation techniques. - Any certifications related to Data Governance, AI Governance, Data Management will be good to have. - Knowledge of Healthcare Industry and Any Certifications in Healthcare will be good to have. This is an individual contributor role.,

At Ola Electric and Krutrim, we are on a mission to redefine the future of mobility and Artificial Intelligence. Ola Electric is leading Indias EV revolution, while Krutrim is building the nations first homegrown AI platform. Together, we are shaping industries that will power the next decade of growth and innovation. To support this bold vision, we are looking for an accomplished Associate Director Legal to take charge of legal strategy and execution across our Go-to-Market initiatives and AI business vertical. This role sits at the intersection of law, technology, and business, and will be central to enabling growth while managing risk in highly dynamic and regulated industries. What will you do ? Partner with GTM and sales leaders to structure, draft, and negotiate commercial contracts with distributors, OEMs, enterprise customers, and channel partners. ? Drive agile and compliant GTM execution, including product launches, consumer warranties, after-sales programs, and marketing communications. ? Advise on AI governance, data usage, licensing, and responsible AI frameworks, ensuring alignment with DPDP, GDPR, global AI regulations, and emerging Indian laws. ? Shape internal policies around responsible and ethical AI, balancing innovation with regulatory guardrails. ? Protect and commercialize IP, algorithms, and proprietary datasets across AI and EV businesses. ? Lead implementation of data privacy and cybersecurity frameworks, covering cross-border data transfers and compliance-by-design. ? Manage regulatory risks, disputes, and external counsel strategy, ensuring proactive risk mitigation. ? Act as a trusted advisor to senior leadership, providing commercially relevant legal guidance at high speed. What are we looking for ? LL.B. (LL.M. preferred) with 1216 years PQE across law firms and in-house roles. ? Strong experience in technology/AI, data privacy, and commercial contracting; exposure to consumer-facing industries is a plus. ? Expertise in DPDP, GDPR, AI regulation, consumer law, and commercial negotiations. ? Exceptional ability to balance legal risk with business agility. ? Strong leadership and stakeholder management skills; experience building or mentoring legal teams is an advantage. ? A growth-oriented, entrepreneurial mindset, comfortable operating in fast-paced and evolving markets. Why Join Us ? Shape the legal and compliance backbone of Indias most ambitious EV and AI businesses. ? Partner directly with visionary leadership in building sustainable mobility and next-gen AI solutions. ? Work on challenges that few legal professionals globally have faced, from EV scale-up to AI governance frameworks. ? Be part of a mission-driven organization, working where law meets technology and innovation at global scale. ? This is not just another legal role its an opportunity to define how Indias EV and AI ecosystems operate, grow, and lead globally. Show more Show less

You will be joining Tesco as a Data Science Manager focusing on AI Governance and Innovation. The Data Science team at Tesco is dedicated to solving complex business problems and implementing data products on a large scale. The team works across various domains such as physical stores, online platforms, supply chain, marketing, and Clubcard, promoting rotation among Data Scientists to enhance expertise in different subjects. In this role, you will be responsible for driving innovation across all business and technical domains, leading the development of data science algorithmic features, and implementing and managing AI governance frameworks to ensure ethical and responsible AI practices. You will also play a key role in setting up projects for success, framing and scoping Data Science problems, line managing data scientists, and supporting the team in their daily tasks. Collaboration with legal and technical teams to address governance issues and educate employees on AI policies will be essential. To excel in this position, you should possess a strong numerical higher degree in a mathematical, scientific, engineering, or computer science discipline with a focus on Data Science. Proficiency in Python, Machine Learning, Software Engineering best practices, and experience in designing reliable and scalable ML systems are crucial. Additionally, expertise in open-source big data technologies, cloud platforms, and managing open-source Data Science environments is required. Your role will involve leveraging your knowledge of AI technology and ethical considerations, legal and regulatory frameworks related to AI, data governance, and risk management. Strong leadership skills, experience in managing high-performing Data Science teams, and the ability to influence senior stakeholders are key qualifications. Previous experience in AI governance, collaborating with legal and technical teams, and coaching others in technical approaches will be advantageous. If you have a background or understanding of the retail sector, logistics, or e-commerce, it would be beneficial. Overall, this role offers a challenging opportunity to drive innovation projects, manage AI governance, and lead the implementation of data science developments at Tesco.,

Job Description Be the accountable leader for AI and data governance in LRCO operationalizing Responsible AI, risk, and data management controls while partnering with Data Owners to shape and execute the LRCO data strategy. You are passionate about turning governance into an accelerator not a blocker. Youll lead the frameworks, processes, and data foundations that let teams ship compliant, explainable AI and analytics at scale. Join us to set the standard for safe innovation in Legal & Regulatory Control Operations, from intake to production, across ML, NLP, retrieval, GenAI and automation. Job Summary As the AI & Data Governance Lead for Legal & Regulatory Control Operations (LRCO) , you will own the operating model that keeps our AI/ML and data-driven capabilities compliant, measurable, and scalable. Youll run end?to?end governance (intake, risk assessment, approvals, monitoring, audit readiness) and co?own the LRCO data strategy with our Data Owners and partners covering data architecture, lineage, taxonomy, quality, and consumption patterns. Youll partner across Product, Engineering/ML, Legal, DUC, MRGR, and Data Owners to embed controls (privacy, explainability, fairness, security, HITL) and to align with firmwide standards so we can deliver measurable customer value without compromising safety or compliance. Job Responsibilities Leverage strong communication skills to lead project teams through challenges and work with key stakeholders (higher, peer, lower in the organizational structure) via influencing and negotiating. Own the AI governance strategy for LRCO and embed it into the product roadmap aligning to firmwide and CCB procedures (registration, approvals, monitoring, documentation). Run the AI/ML governance tollgates (registration, governance forums, etc.) and ensure change?management reviews where applicable. Present on model risk governance: For determination of Model vs Analytical Tool designation, track submissions/waivers, secure approvals, and set ongoing monitoring and documentation standards. Operationalize Responsible AI controls with Legal/CCOR (HITL, fairness/bias, explainability, privacy, security) and maintain compliance with prohibited AI checks and EU AI Act classifications. Co?own LRCOs data strategy with Data Owners covering architecture, taxonomies, metadata/lineage, store registration, gold source consumption and retention, and quality SLAs. Establish robust evaluation & monitoring: offline/online testing, quality metrics (precision/recall), bias/fairness reviews, red?teaming, security testing, drift/latency monitoring, and incident playbooks. Define standards for GenAI platform usage: prompt and knowledge base governance, vector store and content filter policies, audit logging, and HITL acceptance criteria. Reporting & transparency: publish governance dashboards (use?case pipeline, model inventory, risk posture, benefits realization) and brief leadership and auditors. Coach and enablement: deliver training and playbooks to uplift LRCO teams on governance, privacy, data quality, and evaluation practices. Required Qualifications, Capabilities, And Skills Minimum 8 years in data governance, risk, compliance, or product; 3+ years leading AI/ML or GenAI governance in regulated environments. Bachelors degree required; advanced degree in data/AI, risk, or related field. Deep knowledge of AI/ML governance and model risk processes (model vs. analytical tool designation, submissions, controls, monitoring). Proficient knowledge of the product development life cycle, Experience in product life cycle activities, including discovery and requirements definition. In-depth knowledge of Agile process and principles, including use of Agile project management tools (i.e., Confluence, JIRA, Git, etc.) Strong grasp of Responsible AI practices (HITL, privacy, fairness, explainability) and awareness of EU AI Act categories and prohibited AI checks. Proven experience partnering with Legal and risk teams to translate policy into product and control requirements. Expertise in data management (lineage, metadata, taxonomy, store registration, data quality) and working with Data Owners. Fluency with data risk and privacy standards (data classification, retention, personal information policies). Strong stakeholder management across Product, Engineering/ML, CDAO, and business leaders; excellent written/spoken communication. Metrics?driven: defines KPIs (accuracy/precision/recall, time?to?resolution, cost?to?serve, reliability/latency) and builds telemetry for continuous improvement. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the worlds most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants and employees religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. Were proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions all while ranking first in customer satisfaction. Show more Show less

Join us in India as a Data Science & Business Intelligence Platform Lead within our Data Technology Platforms team. As a Director level role, you will be responsible for delivering, owning, and maintaining the operational stability and performance technology of the platform. Your influence and organizational skills will be crucial in leading the team to agreed targets and allowing for excellent exposure for both you and your work. Your primary tasks will include owning the remediation of technical issues, simplifying and improving the platform architecture and technology, and building the platform roadmap in collaboration with centers of excellence to ensure adequate resources. Additionally, you will optimize business solutions for customer needs and the overall technology strategy. You will be accountable for the financial, commercial, and flow performance of the platform, managing the platform risk culture to mitigate risks effectively, delivering regulatory reporting, and overseeing the relevant budgets. Your expertise in operational risk management, financial management, collaboration, negotiation, and strong commercial acumen will be essential. Knowledge and experience in Kepler, site reliability engineering, automation, machine learning controls platform, AI governance and tooling, and ChatOps are required. Moreover, you should possess expertise in AWS, Azure, and Google Cloud Provider, business intelligence, strong leadership skills including Agile and servant leadership, architecture, design, and engineering skills relevant to the specific platform. Experience in running high-performance, large-scaled Agile and non-Agile programs, projects, and teams is also crucial. Your key skills should include SRE, AWS, Google Cloud Provider, and business intelligence knowledge and experience. This role offers a unique opportunity to make a significant impact and drive the success of our Data Technology Platforms team in India.,

Be the accountable leader for AI and data governance in LRCO operationalizing Responsible AI, risk, and data management controls while partnering with Data Owners to shape and execute the LRCO data strategy. You are passionate about turning governance into an accelerator not a blocker. You'll lead the frameworks, processes, and data foundations that let teams ship compliant, explainable AI and analytics at scale. Join us to set the standard for safe innovation in Legal & Regulatory Control Operations, from intake to production, across ML, NLP, retrieval, GenAI and automation. Job summary As the AI & Data Governance Lead for Legal & Regulatory Control Operations (LRCO) , you will own the operating model that keeps our AI/ML and data-driven capabilities compliant, measurable, and scalable. You'll run end?to?end governance (intake, risk assessment, approvals, monitoring, audit readiness) and co?own the LRCO data strategy with our Data Owners and partners covering data architecture, lineage, taxonomy, quality, and consumption patterns. You'll partner across Product, Engineering/ML, Legal, DUC, MRGR, and Data Owners to embed controls (privacy, explainability, fairness, security, HITL) and to align with firmwide standards so we can deliver measurable customer value without compromising safety or compliance. Job responsibilities Leverage strong communication skills to lead project teams through challenges and work with key stakeholders (higher, peer, lower in the organizational structure) via influencing and negotiating. Own the AI governance strategy for LRCO and embed it into the product roadmap aligning to firmwide and CCB procedures (registration, approvals, monitoring, documentation). Run the AI/ML governance tollgates (registration, governance forums, etc.) and ensure change?management reviews where applicable. Present on model risk governance: For determination of Model vs Analytical Tool designation, track submissions/waivers, secure approvals, and set ongoing monitoring and documentation standards. Operationalize Responsible AI controls with Legal/CCOR (HITL, fairness/bias, explainability, privacy, security) and maintain compliance with prohibited AI checks and EU AI Act classifications. Co?own LRCO's data strategy with Data Owners covering architecture, taxonomies, metadata/lineage, store registration, gold source consumption and retention, and quality SLAs. Establish robust evaluation & monitoring: offline/online testing, quality metrics (precision/recall), bias/fairness reviews, red?teaming, security testing, drift/latency monitoring, and incident playbooks. Define standards for GenAI platform usage: prompt and knowledge base governance, vector store and content filter policies, audit logging, and HITL acceptance criteria. Reporting & transparency: publish governance dashboards (use?case pipeline, model inventory, risk posture, benefits realization) and brief leadership and auditors. Coach and enablement: deliver training and playbooks to uplift LRCO teams on governance, privacy, data quality, and evaluation practices. Required qualifications, capabilities, and skills Minimum 8 years in data governance, risk, compliance, or product 3+ years leading AI/ML or GenAI governance in regulated environments. Bachelor's degree required advanced degree in data/AI, risk, or related field. Deep knowledge of AI/ML governance and model risk processes (model vs. analytical tool designation, submissions, controls, monitoring). Proficient knowledge of the product development life cycle, Experience in product life cycle activities, including discovery and requirements definition. In-depth knowledge of Agile process and principles, including use of Agile project management tools (i.e., Confluence, JIRA, Git, etc.) Strong grasp of Responsible AI practices (HITL, privacy, fairness, explainability) and awareness of EU AI Act categories and prohibited AI checks. Proven experience partnering with Legal and risk teams to translate policy into product and control requirements. Expertise in data management (lineage, metadata, taxonomy, store registration, data quality) and working with Data Owners. Fluency with data risk and privacy standards (data classification, retention, personal information policies). Strong stakeholder management across Product, Engineering/ML, CDAO, and business leaders excellent written/spoken communication. Metrics?driven: defines KPIs (accuracy/precision/recall, time?to?resolution, cost?to?serve, reliability/latency) and builds telemetry for continuous improvement.

Dharmakit Networks is a premium global IT solutions partner dedicated to innovation and success worldwide. Specializing in website development, SaaS, digital marketing, AI Solutions, and more, we help brands turn their ideas into high-impact digital products. Known for blending global standards with deep Indian insight, we are now stepping into our most exciting chapter yet. Project Ax1 is our next-generation Large Language Model (LLM), a powerful AI initiative designed to make intelligence accessible and impactful for Bharat and the world. Built by a team of AI experts, Dharmakit Networks is committed to developing cost-effective, high-performance AI tailored for India and beyond, enabling enterprises to unlock new opportunities and drive deeper connections. Join us in reshaping the future of AI, starting from India. As a GPU Infrastructure Engineer, you will be at the core of building, optimizing, and scaling the GPU and AI compute infrastructure that powers Project Ax1. Your responsibilities will include designing, deploying, and optimizing GPU infrastructure for large-scale AI workloads, managing GPU clusters across cloud (AWS, Azure, GCP) and on-prem setups, setting up and maintaining model CI/CD pipelines for efficient training and deployment, optimizing LLM inference using TensorRT, ONNX, Nvidia NVCF, and more. You will also be responsible for managing offline/edge deployments of AI models, building and tuning data pipelines to support real-time and batch processing, monitoring model and infra performance for availability, latency, and cost efficiency, and implementing logging, monitoring, and alerting using tools like Prometheus, Grafana, ELK, CloudWatch. Collaboration with AI Experts, ML Experts, backend Experts, and full-stack teams will be essential to ensure seamless model delivery. **Key Responsibilities:** - Design, deploy, and optimize GPU infrastructure for large-scale AI workloads. - Manage GPU clusters across cloud (AWS, Azure, GCP) and on-prem setups. - Set up and maintain model CI/CD pipelines for efficient training and deployment. - Optimize LLM inference using TensorRT, ONNX, Nvidia NVCF, etc. - Manage offline/edge deployments of AI models (e.g., CUDA, Lambda, containerized AI). - Build and tune data pipelines to support real-time and batch processing. - Monitor model and infra performance for availability, latency, and cost efficiency. - Implement logging, monitoring, and alerting using Prometheus, Grafana, ELK, CloudWatch. - Work closely with AI Experts, ML Experts, backend Experts, and full-stack teams to ensure seamless model delivery. **Must-Have Skills And Qualifications:** - Bachelors degree in Computer Science, Engineering, or related field. - Hands-on experience with Nvidia GPUs, CUDA, and deep learning model deployment. - Strong experience with AWS, Azure, or GCP GPU instance setup and scaling. - Proficiency in model CI/CD and automated ML workflows. - Experience with Terraform, Kubernetes, and Docker. - Familiarity with offline/edge AI, including quantization and optimization. - Logging & Monitoring using tools like Prometheus, Grafana, CloudWatch. - Experience with backend APIs, data processing workflows, and ML pipelines. - Experience with Git, collaboration in agile, cross-functional teams. - Strong analytical and debugging skills. - Excellent communication, teamwork, and problem-solving abilities. **Good To Have:** - Experience with Nvidia NVCF, DeepSpeed, vLLM, Hugging Face Triton. - Knowledge of FP16/INT8 quantization, pruning, and other optimization tricks. - Exposure to serverless AI inference (Lambda, SageMaker, Azure ML). - Contributions to open-source AI infrastructure projects or a strong GitHub portfolio showcasing ML model deployment expertise.,

The Data Science Manager - AI Governance; Innovation role at Tesco involves leading a highly skilled team of Data Scientists to gain a better understanding of the business and optimize processes using available data. The Data Science team at Tesco focuses on modeling complex business problems and deploying data products across various areas such as physical stores, online platforms, supply chain, marketing, and Clubcard. There is an emphasis on rotation among Data Scientists to gain expertise in different subjects, with opportunities for learning and personal development. The team works on domains including online, pricing, security, fulfillment, distribution, property, IoT, and computer vision. Collaboration with academic institutions enriches the team's expertise, while regular knowledge sharing events foster a culture of continuous learning. The work environment at Tesco promotes work-life balance, team-building activities, and a relaxed yet engaging culture. As a Data Science Manager, your responsibilities include owning the innovation process across business and technical domains, implementing AI governance frameworks to ensure ethical and responsible practices, and ensuring compliance with relevant regulations and standards. You will lead the team in framing and scoping Data Science problems, line manage Data Scientists, support and mentor team members, and define the strategic direction for the overall team. Collaborating with legal and technical teams, conducting risk assessments, and educating employees on AI policies are also part of the role. You will partner with Engineering to design complex software systems, promote data science within Tesco, and engage with the external Data Science community. Skills required for the role include a strong numerical higher degree in a relevant discipline, expertise in Python and Machine Learning, experience in Software Engineering best practices, familiarity with big-data technologies and cloud platforms, and knowledge of AI governance principles. Strong leadership skills, experience in managing high-performing Data Science teams, driving innovation projects, and collaborating with academic institutions are also essential. A background in the retail sector, logistics, or ecommerce is advantageous but not mandatory. The benefits offered at Tesco include 30 days of leave, retirement benefits, health insurance for colleagues and their families, mental health support, financial wellbeing programs, physical wellbeing facilities on campus, and opportunities to become Tesco shareholders through savings plans. The work environment in Tesco Bengaluru aims to create a sustainable competitive advantage by standardizing processes, delivering cost savings, and empowering colleagues to serve customers better. The Technology team at Tesco comprises over 5,000 experts globally, with dedicated teams in Engineering, Product, Programme, Service Desk, Operations, Systems Engineering, Security & Capability, Data Science, and other roles.,

NTT DATA is looking for a Salesforce Developer- Agentforce, Experience Cloud to join their team in Pune, Maharashtra, India. As a Senior Salesforce Developer, you will be responsible for designing, developing, and implementing AI-driven solutions using Salesforce Einstein features for Sales and Experience Cloud. You will collaborate with architects, AI engineers, product managers, data scientists, and developers to integrate third-party applications, automate workflows, and create intelligent data-driven decision systems within Sales Cloud and Experience Cloud environments. Your key responsibilities will include building and customizing Lightning components, Apex classes, Visualforce pages, Flows, and APIs to support agent and customer portals. You will also design and implement seamless integrations with core systems such as policy administration, claims, billing, and document management. Collaborating with stakeholders to gather requirements and ensure successful implementation of AI/ML solutions aligned with business goals will be a crucial part of your role. To be successful in this position, you should have 6+ years of overall experience in Salesforce development with at least 2+ years of hands-on experience in Salesforce AI Solutions development. Expertise in Salesforce Einstein AI features, customizing applications using Apex, LWC, Lightning Flows, data modeling, and data integration using REST APIs is required. You should have a good understanding of machine learning algorithms, Salesforce architecture, NLP, image recognition, sentiment analysis, and other AI applications. Preferred skills include Salesforce certifications in areas such as Einstein Analytics and Discovery Consultant, Salesforce Platform Developer II, or Salesforce Certified AI Associate. Hands-on experience with Salesforce Data Cloud and Agentforce, strong command of Apex, Lightning Web Components (LWC), SOQL, and Flow Builder, as well as experience in integrating Salesforce with external systems using REST, SOAP, middleware, or event platforms will be advantageous. NTT DATA is a trusted global innovator of business and technology services committed to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, they offer business and technology consulting, data and artificial intelligence solutions, industry expertise, application development, infrastructure management, and digital and AI infrastructure services worldwide. Join NTT DATA to be part of a diverse team and contribute to shaping the digital future. Visit us at us.nttdata.com.,

As a Senior IT Auditor at Labcorp, you will be responsible for evaluating and analyzing technology and cybersecurity risks. Your role within the Audit team will involve conducting assessments of critical technology functions, including cloud-based technology implementations, application controls, and cybersecurity risks. Collaboration with the Global Internal Audit Team and partnering with the Global IT Enterprise team will be crucial in strengthening IT governance, security, and compliance across the organization. Key responsibilities of this position include leading and executing key components of audits covering critical technology functions, cloud infrastructure, cybersecurity, risk management, application controls, and third-party management. You will also be required to perform SOX IT General Controls (ITGC) and automated business process testing in collaboration with IT Compliance and External Audit. In addition, conducting Internal Financial Controls testing and audit in compliance with the India Companies Act is a plus. Your role will involve performing risk assessments of business units and technology operations, designing and executing audit procedures to evaluate control effectiveness. You will be responsible for identifying, defining, and documenting issues related to technology risks, as well as analyzing business and IT process controls. Your ability to develop innovative data analytic test approaches applicable to audit objectives will be essential. Furthermore, you will prepare well-organized and comprehensive documentation to support audit work, assist with special audits, consulting projects, and other ad hoc assignments as needed. Strong communication skills are crucial for disseminating issues via written reports, documenting results, and preparing/presenting audit reports to Internal Audit Management and mid-level management. To qualify for this role, you should hold a Bachelor's degree in information technology, Business, Accounting, or Computer Science. A minimum of 4 years of experience in information technology is required, with prior experience in auditing databases and operating systems. Proficiency in cloud computing, auditing software, and IT Control Frameworks is necessary. Experience performing data analysis to support internal auditing is also preferred. Strong analytical skills, the ability to work independently, and manage multiple projects simultaneously are key requirements for this role. Effective multitasking in a rapidly changing environment, coupled with strong verbal and written communication skills, will contribute to your success in this position. Certification such as CISA/CISSP is preferred, and familiarity with AuditBoard tool is a plus. Additionally, knowledge or experience in Artificial Intelligence frameworks and governance is advantageous. Labcorp is an Equal Opportunity Employer, and we encourage all individuals to apply. If you require assistance due to a disability when using our online tools or need an accommodation during the application process, please visit our accessibility site or contact us at Labcorp Accessibility. For information on how we collect and store personal data, please refer to our Privacy Statement.,

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Key Responsibilities: Client Advisory & Strategic Leadership Partner with market sales, solutions and customer teams to support customer engagement and growth agenda. Partner with C-level stakeholders to define technology strategies aligned with business goals. Translate complex business requirements into actionable, scalable, and secure architectural solutions. Develop architecture assessments, executive presentations, and strategic roadmaps. Solution Architecture & Technical Oversight Lead the design and implementation of enterprise IT solutions spanning cloud infrastructure, applications, APIs, security, AI and data integration. Define the overarching solution architecture strategy for complex, large-scale systems. Develop solution blueprints, reference architectures, and modernization solutions. Guide clients/teams through cloud adoption, digital transformation, AI integration, and innovation initiatives. Guide teams in evolving their IT operating models, organization structures, and governance to support agile delivery, innovation at scale, and AI adoption. Advise on the practical application of AI and automation across IT operations, business processes, and digital platforms. Identify opportunities for intelligent workflows, AIOps, and responsible AI governance. Collaborate with cross-functional delivery teams to ensure technical alignment and solution integrity throughout the lifecycle. Support architecture reviews, proposal development, and pre-sales solutioning efforts. Innovation & Emerging Technology Enablement Stay current with and evaluate emerging technologies (e.g., AI/ML, generative AI, serverless, edge computing, automation) for business relevance. Promote the responsible adoption of AI, intelligent automation, and cloud-native platforms. Who You Are Required Qualifications: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. 8+ years of experience in enterprise architecture or solution architecture roles, with at least 3 years in a client-facing consulting capacity. Expertise in architecture domains including cloud platforms (AWS, Azure, GCP), applications, integration, DevOps, and security. Proven success in delivering large-scale transformation or modernization initiatives. Experience with architecture frameworks such as TOGAF, Zachman, SAFe, or Gartner EA. Experience with enterprise integration patterns, data architecture, and security frameworks. Excellent problem-solving, communication, and stakeholder management skills. Strong communication, presentation, and stakeholder engagement skills across technical and executive audiences. Preferred Qualifications: TOGAF, AWS/Azure/GCP Architect Professional, SAFe. Knowledge of AI/ML platforms (e.g., OpenAI, Azure OpenAI, Google Vertex AI), AIOps, and intelligent automation. Experience with SaaS, multi-tenant architectures, and event-driven systems. Background in Agile/Scrum methodologies and scaled agile frameworks (SAFe). Industry expertise across sectors such as financial services, healthcare, retail, or manufacturing. Understanding of IT operating models, FinOps, observability, and AI governance. Being You Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learningprograms give you access to the best learning in the industry to receive certifications, includingMicrosoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked How Did You Hear About Us during the application process, select Employee Referral and enter your contact's Kyndryl email address.

As an AI Architect at Novartis Healthcare Private Limited, you will be responsible for designing and implementing cutting-edge Generative AI (GenAI) solutions specifically tailored for the pharmaceutical and life sciences industry. Your role will involve defining AI strategies, selecting and fine-tuning generative AI models, and ensuring seamless integration with enterprise systems to enhance various aspects such as drug discovery, clinical trials, regulatory compliance, and patient-centric solutions. Collaboration with data scientists, engineers, and business stakeholders will be essential to develop scalable, compliant, and high-performance AI applications leveraging large language models (LLMs), multimodal AI, and AI-driven automation. Your key responsibilities will include defining and implementing a generative AI architecture and roadmap aligned with business goals in pharma and life sciences, architecting scalable GenAI solutions for various applications in the industry, working on the development, fine-tuning, and optimization of large language models (LLMs), designing GenAI solutions leveraging cloud platforms or on-premise infrastructure while ensuring data security and regulatory compliance, implementing best practices for GenAI model deployment, monitoring, and lifecycle management within GxP-compliant environments, ensuring compliance with regulatory standards and responsible AI principles, driving efficiency in generative AI models, collaborating with cross-functional teams, staying updated with the latest advancements in GenAI, and incorporating emerging technologies into the company's AI strategy. To be successful in this role, you are required to have a Bachelor's or Master's degree in Computer Science, AI, Data Science, Bioinformatics, or a related field, along with 8+ years of experience in AI/ML development with at least 2 years in an AI Architect or GenAI Architect role in pharma, biotech, or life sciences. Technical expertise in Generative AI, large language models (LLMs), multimodal AI, deep learning, AI/ML frameworks, data engineering, ETL pipelines, programming languages, cloud AI services, MLOps, DevOps, regulatory & ethical AI, and problem-solving skills are essential. Excellent communication and leadership skills are also required to articulate GenAI strategies and solutions to technical and non-technical stakeholders. Preferred qualifications include experience in GenAI applications for medical writing, automated clinical trial protocols, drug discovery, and regulatory intelligence, knowledge of AI explainability, retrieval-augmented generation (RAG), knowledge graphs, and synthetic data generation in life sciences, AI/ML certifications, understanding of biomedical ontologies, semantic AI models, and federated learning, exposure to fine-tuning LLM models, and familiarity with specific AI models like BioGPT, PubMedBERT, and custom SLMs. Novartis is committed to fostering an inclusive work environment and building diverse teams that are representative of the patients and communities the company serves. If you require accommodation during the recruitment process due to a medical condition or disability, you can reach out to [email protected] with your request and contact information. Join Novartis in creating a brighter future together and explore the opportunities within the Novartis Network for suitable career options.,

As a Manager in Data & Analytics at EY, you will lead cross-functional teams in designing, developing, and deploying next-generation AI solutions. With a minimum of 8 years of experience, you will be responsible for building GenAI and Agentic AI workflows, project management, client relationship management, and ensuring business outcomes are met. Your role will involve overseeing the delivery of AI-driven solutions, aligning them with client needs, and fostering a high-performance culture within the team. Your key responsibilities will include leading, mentoring, and growing a team of AI engineers, data scientists, and solution architects. You will define team goals, set performance expectations, and drive collaboration, innovation, and knowledge-sharing. Additionally, you will own end-to-end delivery of AI projects, define project roadmaps, allocate resources, and manage risks and dependencies while ensuring timely delivery. You will also act as the primary point of contact for clients, translate business problems into AI solutions, and negotiate scope and deliverables. In terms of AI strategy and innovation, you will shape and refine the strategy for AI adoption, identify new opportunities for automation and decision support, and evaluate emerging technologies. You will also design, implement, and optimize machine learning pipelines, ensuring scalability and adaptability. Collaborating closely with product, engineering, and business stakeholders, you will drive projects from conception to production, enabling measurable business value and ROI. To qualify for this role, you should have a Bachelors/Masters degree in Computer Science, Data Science, AI/ML, or related field, along with 8-12 years of total experience with at least 3-5 years in AI/ML leadership roles. You should have proven expertise in Generative AI and Agentic AI, strong understanding of cloud platforms and AI governance, and demonstrated ability to manage large-scale AI/ML projects. Exceptional communication skills, people leadership experience, and strong business acumen are also required for this position. Join EY in building a better working world by leveraging data, AI, and advanced technology to shape the future with confidence and address the most pressing issues of today and tomorrow. EY offers a globally connected network of services in assurance, consulting, tax, strategy, and transactions, enabling clients to create new value while building trust in capital markets.,

Job Description Role Summary We are seeking a Generative AI/ML Engineer to design, build, and deploy intelligent AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic workflows, and edge computing. You will work hands-on with cloud-native AI services, LLMOps pipelines, and enterprise-grade deployment patterns to solve business problems. Key Responsibilities Design, develop, and fine-tune LLM-powered applications for enterprise use cases. Experience in evaluating LLM applications and developing observability frameworks Implement RAG pipelines using vector databases, embeddings, and optimized retrieval strategies. Build agentic AI workflows with multi-step reasoning, tool calling, and integration with APIs. Integrate GenAI solutions into multi-cloud or hybrid cloud environments (AWS, Azure, GCP). Develop and optimize edge AI deployments for low-latency use cases. Create data strategy, ingestion, transformation, enrichment, validations, quality checks via pipelines for AI ingestion, preprocessing, and governance. Implement AI safety, bias mitigation, and compliance measures. Work closely with LLMOps teams to enable continuous integration & deployment of AI models. Write well-documented, production-ready code in Python, Node.js, Rust . Benchmark and evaluate model performance , latency, and cost-efficiency. Required Skills Proficient in cloud AI services (e.g. AWS Bedrock/SageMaker, Azure AI Foundry, Google Vertex AI, Anthropic, OpenAI APIs). Strong proficiency with Python and LLM frameworks (e.g. PromptFlow, LangGraph, LlamaIndex, HuggingFace, PyTorch, TensorFlow). Hands-on experience with vector DBs (e.g. Pinecone, Weaviate, Milvus, FAISS, Azure Cognitive Search). Experience building RAG-based and agentic AI solutions. Familiarity with Edge AI frameworks (e.g. NVIDIA Jetson, AWS IoT Greengrass, Azure Percept). Multi-modal AI (text, image, speech, video) experience. Strong grasp of APIs, microservices, and event-driven architectures . Knowledge of AI governance (data privacy, model explainability, security). Experience in containerized deployments (Docker, Kubernetes, serverless AI functions). Preferred Skills Generative agents with memory and planning capabilities . Real-time AI streaming with WebSockets or Kafka. Prior contributions to open-source GenAI projects . Experience in build, test and deploy various ML models Experience in building MCP, A2A protocol Show more Show less

Associate Director AI Delivery & Performance Job ID: 1223 Location: NCR (Gurugram / Noida) Experience Required: 815 years Contact- 9045052073 Job Description We are hiring an Associate Director AI Delivery & Performance to lead the end-to-end delivery of AI/GenAI projects and ensure measurable business impact. The ideal candidate will have a strong background in Business Analysis, Project Delivery, and Performance Tracking , with proven experience in driving AI/analytics solutions from concept to adoption. Key Responsibilities Manage end-to-end delivery of AI/GenAI solutions with quality, scalability, and timeliness. Translate business requirements into AI solution roadmaps and measurable KPIs. Monitor solution performance (business impact, adoption, and model effectiveness). Build and present executive dashboards to leadership teams. Drive continuous improvement in delivery frameworks and adoption processes. Collaborate with cross-functional and global teams to resolve delivery challenges. Desired Candidate Profile 8–15 years of experience in AI/analytics/technology delivery . Strong knowledge of AI/GenAI lifecycles, model deployment, and monitoring . Excellent skills in business analysis, delivery frameworks, and stakeholder management . Hands-on familiarity with tools like JIRA, Power BI/Tableau, ML monitoring platforms . Prior exposure to insurance, financial services, or SaaS (preferred). Understanding of AI governance and operationalization at scale . Key Skills AI Delivery, Generative AI, Business Analysis, Performance Tracking, Project Management, AI Governance, JIRA, Tableau, Power BI, ML Monitoring

Product Owner, Product Manager, AI/ML technologies & understanding of data pipelines. Agile/Scrum. stakeholder management & communication skills.AI governance, ethical AI considerations & regulatory compliance. UX/UI.

About Credit Saison India: Credit Saison India, established in 2019, is one of the fastest-growing Non-Bank Financial Company (NBFC) lenders in the country. With verticals in wholesale, direct lending, and tech-enabled partnerships with NBFCs and fintechs, Credit Saison India's tech-enabled model, along with underwriting capability, facilitates lending at scale, addressing India's significant credit gap, especially within underserved segments of the population. Committed to long-term growth as a lender in India, Credit Saison India serves MSMEs, households, individuals, and more. Registered with the Reserve Bank of India (RBI) and holding an AAA rating from CRISIL and CARE Ratings, the company has a branch network of 45 physical offices, 1.2 million active loans, an AUM exceeding US$1.5B, and an employee base of around 1,000 people. As part of Saison International, a global financial company, Credit Saison India aims to bring people, partners, and technology together to create resilient and innovative financial solutions for positive impact. With operations spanning across various countries, including Singapore, India, Indonesia, Thailand, Vietnam, Mexico, and Brazil, Credit Saison India is dedicated to transforming opportunities and enabling people's dreams. Roles & Responsibilities: Define and drive the long-term AI engineering strategy aligned with the company's business goals, focusing on scalable AI and machine learning solutions, including Generative AI. Lead, mentor, and develop a high-performing AI engineering team, fostering innovation, collaboration, and technical excellence. Collaborate with product, data science, infrastructure, and business teams to identify AI use cases, design end-to-end solutions, and seamlessly integrate them into products and platforms. Oversee the development, deployment, and continuous improvement of AI/ML models and systems to ensure scalability, robustness, and real-time performance. Manage the full AI/ML lifecycle, including data strategy, model development, validation, deployment, monitoring, and retraining pipelines. Evaluate and incorporate cutting-edge AI technologies, frameworks, and external AI services to enhance capabilities and accelerate delivery. Establish and enforce engineering standards, best practices, and observability tools for model governance, performance tracking, and compliance with data privacy and security requirements. Collaborate with infrastructure and DevOps teams to design and maintain cloud infrastructure optimized for AI workloads, including GPU acceleration and MLOps automation. Manage project timelines, resource allocation, and cross-team coordination to ensure timely delivery of AI initiatives. Stay updated on emerging AI trends, research, and tools to continuously evolve the AI engineering function. Required Skills & Qualifications: 10 to 15 years of experience in AI, machine learning, or data engineering roles, with at least 8 years in leadership or managerial positions. Bachelors, Masters, or PhD degree in Computer Science, Statistics, Mathematics, or related fields from a top-tier college is preferred. Proven track record of leading AI engineering teams and delivering production-grade AI/ML systems at scale. Expertise in machine learning algorithms, deep learning, NLP, computer vision, and Generative AI technologies. Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, Keras, Hugging Face Transformers, LangChain, MLflow, and related tools. Strong understanding of data engineering concepts, ETL pipelines, and distributed computing frameworks like Spark and Hadoop. Experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker). Familiarity with software engineering practices, CI/CD, version control (Git), and microservices architecture. Strong problem-solving skills with a product-oriented mindset and the ability to translate business requirements into technical solutions. Excellent communication skills for effective collaboration across technical and non-technical teams. Experience in AI governance, model monitoring, and compliance with data privacy/security standards. Preferred Qualifications: Experience in building or managing ML platforms or MLOps pipelines. Knowledge of NoSQL databases (MongoDB, Cassandra) and real-time data processing. Previous exposure to AI in domains like banking, finance, and credit is advantageous. This role presents an opportunity to lead AI innovation at scale, shaping the future of AI-powered products and services in a rapidly growing, technology-centric environment.,

As an HR Transformation Partner within Wipro's People and Change practice, you play a crucial role in driving growth, innovation, and delivery excellence in HR Transformation initiatives for our clients. Your responsibilities include leading client engagements, developing cutting-edge offerings, and fostering a high-performing team. A significant aspect of your role involves harnessing emerging technologies like Generative AI (GenAI) and Agentic AI to revolutionize HR processes, elevate employee experience, and facilitate intelligent automation. Your key responsibilities encompass various domains: Business Development & Client Engagement You will be instrumental in propelling business growth by identifying and capitalizing on HR Transformation opportunities across diverse industries. Leading client conversations, solutioning, and proposal development with an emphasis on digital HR and AI-enabled transformation are pivotal aspects of your role. Cultivating trusted relationships with CHROs and senior HR leaders to influence strategic agendas is a key focus area. Offering Development & Innovation Your role involves developing and refining HR Transformation offerings that integrate GenAI and Agentic AI capabilities. Crafting frameworks and accelerators for AI-powered HR services such as talent acquisition, learning, performance management, and employee engagement are essential components. Collaboration with Wipro's AI and technology practices to co-create integrated solutions is also part of your responsibilities. Thought Leadership Representing Wipro at industry forums, webinars, and conferences as a thought leader in AI-led HR transformation is a key aspect of your role. Publishing whitepapers, blogs, and POVs on topics like the future of work, AI in HR, and workforce transformation is expected. Keeping abreast of trends in GenAI, Agentic AI, and digital HR platforms is essential to maintain thought leadership. Project Delivery & Execution Leading the delivery of complex HR Transformation programs, ensuring alignment with client goals and measurable outcomes is a critical responsibility. Leveraging GenAI and Agentic AI to automate workflows, personalize employee experiences, and enhance decision-making are key tasks. Upholding delivery excellence through agile methodologies, change management, and stakeholder engagement is vital. Talent Management & Practice Building Your role involves hiring, mentoring, and retaining top consulting talent with expertise in HR, AI, and digital transformation. Building internal capabilities through training, certifications, and knowledge sharing is an integral part of your responsibilities. Fostering a culture of innovation, collaboration, and continuous improvement is essential. Qualifications & Experience To excel in this role, you should possess 15+ years of experience in HR consulting, transformation, or related domains. A proven track record in selling and delivering HR Transformation projects is crucial. Strong understanding of GenAI, Agentic AI, and their applications in HR is required. Experience with HR platforms like Workday, SAP SuccessFactors, Oracle HCM, and AI tools is beneficial. Excellent leadership, communication, and stakeholder management skills are essential. An MBA or equivalent degree in HR, Business, or a related field is preferred. Preferred Skills Expertise in digital HR strategy, employee experience design, and intelligent automation is advantageous. Familiarity with AI governance, ethics, and responsible AI practices is beneficial. The ability to translate complex AI concepts into business value for HR leaders is valuable. Strong analytical, problem-solving, and storytelling capabilities are desirable traits.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. We are counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. As a Manager - Data Scientist with 9-12 years of preferred experience, you should hold a Bachelors or Advanced degree (Masters or Ph.D.) in Mathematics, Computer Science, Engineering, or a related field with a strong foundation in data science and machine learning. Your responsibilities will include leading and executing end-to-end data science projects, collaborating with business stakeholders, implementing data engineering for ML projects, and analyzing complex data sets to uncover trends and insights. Preferred qualifications for this role include: - 9+ years of hands-on Data Science experience with a proven record of independently deploying complex projects to production - Expertise in predictive modeling, deep learning, advanced analytics, and the mathematical and statistical foundations of machine learning - Exceptional Python coding skills and proficiency in SQL and relational databases (e.g., MySQL, PostgreSQL) - Extensive experience in Big Data technologies, cloud platforms, and developing custom algorithmic solutions beyond off-the-shelf models - Understanding of AI ethics, governance, risk management, and compliance (GRC) standards - Strong leadership and communication skills, with the ability to engage with stakeholders at all levels and manage cross-functional relationships - Willingness to travel to the MENA region based on business needs Your role will involve formulating and executing the organization's AI strategy, developing AI governance frameworks, leading collaboration efforts with other team members and departments, and mentoring junior members of the team. EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Join us in our mission to ask better questions and find new answers for the complex issues facing our world today.,

The Privacy and Data Protection Manager/Sr Manager position at Wipro involves playing a crucial role in implementing privacy and data protection strategies across the organization. Your expertise will be instrumental in enhancing the organization's privacy maturity, providing expert advice, improving internal procedures, enhancing team capabilities through training, and refining internal processes. As a trusted advisor, you will ensure operational compliance with legal requirements while effectively leveraging technology. Additionally, you will lead the transformation of privacy operations through streamlining, automation, and efficiency. Key Responsibilities: - Act as a Trusted Strategic Advisor by leading the enhancement of the organization's privacy maturity and compliance posture. You will provide expert guidance to various business units and stakeholders, both within the team and across the wider organization. - Drive Operations enhancement and automation by reviewing and operationalizing policies and processes to evaluate privacy and AI-related risks effectively. Identify opportunities for streamlining and automating existing pathways. - Design and implement Team Upskilling programs to enhance the team's understanding of privacy and data protection, especially within the context of artificial intelligence and emerging technologies. - Analyze existing internal processes and procedures related to privacy and data governance for areas of improvement. Lead initiatives for upgrade and compliance. - Serve as a bridge between Legal and Technology Integration, ensuring that privacy operations align with legal frameworks and technological advancements. - Engage with cross-functional teams for Stakeholder Engagement, integrating privacy considerations into business strategies, product development, and operational practices. - Lead the development and implementation of privacy compliance initiatives, ensuring alignment with relevant regulations and frameworks. Qualifications: - Proven experience in senior privacy and data protection roles, such as privacy lawyer, head of privacy, senior risk professional, or similar. - Strong working knowledge of privacy laws and regulations, including GDPR, CCPA, PDPD, and others relevant to operational geographies. - Experience in governance, risk management, and compliance within technology-driven environments, particularly related to AI. - Exceptional communication and interpersonal skills, with the ability to influence at all levels. - Demonstrated ability to manage projects effectively and collaborate in a fast-paced environment. - An advanced degree in law, information management, security, or a related field is preferred. Join us at Wipro to be part of an innovative team driving privacy and AI governance. We prioritize diversity, collaboration, and the growth of our employees. You will have the opportunity to shape our approach to privacy in a rapidly evolving technological landscape, setting standards that not only comply with regulations but also inspire trust in our clients and partners.,