27 Ai Governance Jobs

The AI Strategy & Project Management (PMO / Business Analyst) role based in Bengaluru, KA (Hybrid) for a duration of 12 Months (Possible extension) is a Contract Role. As a Business Analyst / PMO in this position, you will be responsible for leading and supporting AI-driven initiatives within the organization. Your main focus will be on AI implementation, governance, stakeholder coordination, and conducting business impact analysis, all while ensuring alignment with the organization's digital transformation strategy. To excel in this role, you should possess the following skills and experience: Technical & AI Expertise: - You should have at least 5 years of experience in AI strategy, business analysis, project management, or digital transformation roles. - A strong grasp of AI/ML concepts, analytics, and familiarity with emerging AI technologies is essential. - Previous experience working with AI frameworks, automation tools, and cloud platforms such as Azure, AWS, or GCP will be beneficial. - Knowledge of AI governance, ethical AI practices, and compliance standards is required. Project Management & Business Analysis: - A solid background in PMO methodologies, Agile frameworks (Scrum, SAFe), and project governance is necessary. - Proficiency in tools like JIRA, Confluence, Microsoft Project, or other project management tools is preferred. - Ability to define business requirements, create process workflows, and optimize AI-driven workflows is crucial for this role. Stakeholder & Change Management: - Excellent communication and stakeholder management skills are vital for engaging with business leaders, IT teams, and AI experts. - Experience in AI adoption strategies, change management, and user training is highly valued. Preferred Qualifications: - A Bachelors/Masters degree in Business, Computer Science, AI, or a related field is desirable. - Certifications in Project Management (PMP, PRINCE2, Agile, SAFe) or AI & Data Science (Azure AI, Google AI, etc.) are a plus. - Experience in manufacturing, industrial automation, or engineering environments will be an advantage. In summary, the AI Strategy & Project Management role requires a candidate with a strong background in AI strategy, project management, business analysis, and stakeholder management. If you have a passion for leveraging AI technologies to drive business impact and are adept at managing AI-driven initiatives, this could be the perfect opportunity for you.,

We are seeking a highly skilled Senior Salesforce AI Developer with over 6 years of experience in Salesforce CRM development and 2 years of expertise in developing AI solutions around Sales and Service Cloud using Salesforce Einstein. The ideal candidate will be proficient in leveraging Salesforce Einstein AI capabilities and integrating custom AI models to optimize sales processes, customer engagement, and business operations. As a Salesforce AI Developer, your role involves collaborating closely with business stakeholders and technical teams to implement intelligent solutions that enhance decision-making and drive business growth. You will lead AI/ML initiatives across the organization, focusing on predictive analytics, automation, and personalized customer interactions within Salesforce. Your responsibilities will include leading the design, development, and implementation of AI-driven solutions using Salesforce Einstein features around Sales & Service Cloud. You will collaborate with architects and AI engineers to design AI-driven solutions for predictive analytics, customer insights, and automation. Additionally, you will lead the integration of open AI models into Salesforce, utilizing languages such as Apex, Python, and Java to enhance Salesforce functionalities and user experience. Furthermore, you will collaborate with product managers, data scientists, and developers to ensure the successful implementation of AI/ML solutions aligned with business goals. You will implement automated workflows and intelligent data-driven decision systems within Sales Cloud, Service Cloud, and Marketing Cloud. Using Salesforce Einstein, you will apply natural language processing (NLP), image recognition, and predictive analytics to enhance customer service and sales strategies. Your role will involve analyzing customer data to identify actionable insights and recommend tailored product offerings. You will monitor and fine-tune AI models, ensuring accuracy and performance in live environments, and continuously improve them based on feedback and evolving business needs. Additionally, you will ensure data security and compliance standards are adhered to when handling sensitive customer information in AI/ML models. Key Qualifications: - 6+ years of overall experience in Salesforce development with at least 2+ years of relevant hands-on experience in Salesforce AI Solutions development. - Expertise in Salesforce Einstein AI features, including Sales Cloud Einstein, Service Cloud Einstein, Einstein Copilot, Prompt Builder, Einstein Studio, Einstein Chatbot, etc. - Experience in customizing applications using Apex, LWC, and Lightning Flows. - Proficiency in data modeling, data integration using REST APIs, and handling large datasets within Salesforce. - Strong understanding of machine learning algorithms, Salesforce architecture, NLP, image recognition, sentiment analysis, and other AI applications. - Ability to translate complex business needs into actionable AI/ML solutions and ensure data security and compliance standards are met. Preferred Skills (Good to have): - Salesforce certifications in areas such as Einstein Analytics and Discovery Consultant, Salesforce Platform Developer II, or Salesforce Certified AI Associate. - Experience in Salesforce Data Cloud, MLOps practices, automating model training and deployment, and working in industries such as banking, finance, or e-commerce with a focus on AI-driven customer insights. - Hands-on experience in deploying and scaling AI models in cloud environments like AWS, Azure, or Salesforce Cloud. - Proficiency in Einstein Analytics or Tableau CRM for building AI-driven dashboards and reports, Python, TensorFlow, PyTorch for developing ML models, and NLP, LLMs, and LLM model development.,

As an Assistant Director - Manager in Innovation Risk at EY, you will play a crucial role in the GDS Risk Management Services Innovation Risk function in India. Your primary focus will be on Innovation Risk, Compliance, and Governance, supporting the Risk Management and service line teams in reviewing Global EY external electronic and printed publications. With 10-12 years of relevant experience, you will demonstrate a strong interest in Artificial Intelligence and emerging technologies. Your responsibilities will include ensuring compliance with Risk Management, Responsible AI, and EY style guide standards, driving the enablement of AI systems across service lines, and contributing to the development of risk and governance frameworks for AI and other emerging technologies. You will collaborate with various teams within the innovation risk ecosystem, such as Legal, InfoSec, Compliance, SLQ leaders, and Global Innovation Leadership teams, to identify and mitigate risks associated with AI systems. Additionally, your technical skills will be put to use by utilizing digital tools like EYQ and generative AI platforms, and your business skills will be essential in stakeholder management, project execution, and risk assessment for AI Systems. A postgraduate qualification, familiarity with AI landscape and responsible innovation practices, and experience in Risk Management domain are preferred qualifications for this role. Strong proficiency in Microsoft Office, project management, and risk management tools are essential, along with excellent communication and research abilities. Join EY in building a better working world, where you will have the opportunity to shape the future with confidence, contribute to solving pressing issues, and deliver high-quality outcomes in a globally connected and diverse ecosystem.,

We are looking for an experienced and motivated AI Program Manager and Coordinator to join our multinational team in the steelmaking and distribution industry. This mid-senior level role will support the Group-wide AI4Business Expert Committee, ensuring the efficient implementation, governance, and communication of AI/GenAI initiatives across the organization. The successful candidate should have a strong background in program management, AI policy development, and community engagement, with a focus on responsible AI practices. Responsibilities: Lead the assessment, tracking, and updating of all AI/GenAI tools, applications, and models utilized across the Group through the "Activity Tracking Tool." Maintain and manage the backlog, Proof of Concepts (POCs), and future roadmaps for AI/GenAI initiatives to ensure alignment with the Group's strategic objectives. Collaborate with various departments and stakeholders to identify opportunities for AI/Gen tools enhancement and innovation. Support the drafting and implementation of responsible AI/GenAI policies across the organization, ensuring adherence to ethical standards and regulatory requirements. Lead the creation and execution of communication strategies to build awareness of AI4Business activities, AI/Gen AI policies, and initiatives within the Group. Manage and engage with the AI community within the company to foster a culture of collaboration and continuous learning. Act as the Program Management Office (PMO) for AI governance bodies, ensuring alignment with established guidelines, policies, and best practices. Support the development and implementation of governance frameworks for future AI projects and POCs. Coordinate and monitor AI project execution across the Group, ensuring timely delivery, risk management, and compliance with governance standards. Facilitate collaboration between the AI Expert Committee, business units, and other stakeholders to drive AI initiatives forward. Provide leadership and mentorship to team members involved in AI projects, fostering a collaborative and innovative environment. Regularly report on the progress of AI initiatives to senior management, providing insights and recommendations for continuous improvement. Skills Required: Minimum of 5-7 years of experience in AI, program management, or a related field, with a focus on AI governance, policy development, and implementation. Proven experience in managing AI tools and technologies, including tracking, updating, and roadmap planning. Strong background in implementing AI projects and policies, with an emphasis on responsible AI practices and ethical considerations. Experience in community management, communication strategy development, and stakeholder engagement within a large organization. Deep understanding of AI technologies, tools, and frameworks, particularly in the context of industrial applications. Strong project management skills, with the ability to coordinate complex initiatives across multiple departments and geographies. Excellent communication and interpersonal skills, with the ability to build relationships and influence stakeholders at all levels. Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation. Attributes: Proactive and self-driven, with a passion for AI and its potential to transform business operations. Inclusive and collaborative, with a strong commitment to fostering a diverse and equitable workplace. Ethical and responsible, with a deep understanding of the implications of AI on society and a commitment to promoting responsible AI practices. Academic Background: Bachelor's or master's degree in computer science, Data Science, Engineering, or a related field. Advanced degrees or certifications in AI, program management, or related areas are highly desirable. Industry Experience: Experience in Metal Manufacturing or Steel industry will be an added advantage. Work Location: Currently remote with a potential for hybrid work from Pune, Noida, Kolkata, or Surat with periodic trips to Europe. Travel as per project requirements to European countries such as France, Germany, Luxembourg, Spain, etc. Notice Period: Joining in 45 to 60 days. Time Zone: Selected candidate is required to work as per Indian Standard Time (IST) / Central European Time (CET).,

Job Title AI And Analytics Tool Architect Preferred Location - Bangalore/Hyderabad, India Full time/Part Time - Full Time Build a career with confidence Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we&aposve led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do About the Role We are seeking a highly capable and strategic AI & Analytics Tooling Architect to join our centralized Tools governance team. This role is pivotal in evaluating, selecting, and governing the tools and platforms that power our AI and analytics initiatives. You will be responsible for ensuring that all tooling decisions align with business needs, technical standards, and governance frameworkswhile minimizing duplication and optimizing cost. Key Responsibilities Define and maintain standardized evaluation frameworks and selection criteria for AI, data, and analytics tools. Conduct hands-on assessments of new tools and features, including cost, business fit, technical evaluation, and implementation feasibility. Approve or reject tooling requests based on strategic alignment, performance, and governance standards. Collaborate with business stakeholders to understand use cases and recommend appropriate tools or platforms. Perform gap analyses on the current technology stack to identify opportunities for consolidation or enhancement. Proactively scan the technology landscape to identify emerging tools and capabilities relevant to the organization. Coordinate with vendors on product roadmaps, feature requests, and engagement models. Partner with development teams and business relationship managers (BRMs) to align tooling decisions with business roadmaps. Maintain a centralized database of tools, features, and associated use cases for governance and reuse. Support governance processes in collaboration with AIRB and other compliance teams. Required Qualifications Role To be successful in this role, you should bring a combination of technical expertise, strategic thinking, and hands-on experience with enterprise tooling and platform evaluation: Education & Experience Bachelors or Masters degree in Computer Science, Information Systems, Engineering, Data Science, or a related field. 6+ years of experience in enterprise platform evaluation, solution architecture, or technology strategy, with a strong focus on AI, data, and analytics tooling. Technical Expertise Deep understanding of AI/ML platforms, data engineering tools, analytics stacks, and cloud-native services (e.g., Azure, AWS, GCP). Experience with hands-on testing, proof-of-concept development, and technical validation of enterprise tools. Familiarity with architectural patterns for AI and data solutions, including build vs. buy analysis and integration strategies. Proficiency in evaluating tools for scalability, performance, interoperability, and security. Tooling & Evaluation Skills Demonstrated ability to define and apply structured evaluation frameworks and scoring models. Experience conducting cost-benefit analyses, ROI assessments, and vendor comparisons. Ability to assess tools for business fit, reuse potential, and alignment with enterprise architecture. Governance & Compliance Working knowledge of AI governance, privacy, risk management, and compliance standards. Experience collaborating with legal, cybersecurity, and risk teams to ensure tools meet regulatory and internal policy requirements. Collaboration & Communication Strong interpersonal skills to work with cross-functional teams including developers, business stakeholders, vendors, and governance bodies. Excellent written and verbal communication skills to document assessments, present findings, and influence decision-making. Experience managing intake processes, stakeholder consultations, and tool lifecycle documentation. Mindset & Approach Strategic thinker with a proactive mindset and a passion for technology evaluation and optimization. Comfortable working in a fast-paced, decentralized environment with evolving priorities. Detail-oriented, analytical, and committed to delivering high-quality, data-driven recommendations. Benefits We are committed to offering competitive benefits programs for all of our employees and enhancing our programs when necessary. Have peace of mind and body with our health insurance Make yourself a priority with flexible schedules and leave Policy Drive forward your career through professional development opportunities Achieve your personal goals with our Employee Assistance Program. Our commitment to you Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way. Join us and make a difference. Apply Now! Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Job Applicant&aposs Privacy Notice Click on this link to read the Job Applicant&aposs Privacy Notice Show more Show less

You should have a Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field. With over 5 years of experience in AI/ML solution design and development, you must possess proficiency in AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Strong programming skills in Python, R, or Java are essential for this role. Hands-on experience with cloud platforms like AWS, Azure, and GCP is required. A solid understanding of data engineering concepts and tools such as Spark, Hadoop, and Kafka is expected. Experience with MLOps practices, including CI/CD for AI models, is a plus. Strong problem-solving, communication, and leadership skills are crucial for success in this position. Preferred qualifications include AI/ML certifications like AWS Certified Machine Learning, Google Professional ML Engineer, etc. Experience in natural language processing (NLP) or computer vision would be beneficial. Knowledge of AI governance and ethical AI practices, as well as familiarity with AI model explainability and bias detection, are also desired qualities for this role.,

As a member of the EY Consulting team, you will be supporting clients in achieving their strategic transformations to promote sustainable and inclusive economic growth and contribute to building a better world of work. EY Consulting's expertise spans across Risk Consulting, Business Consulting, Technology Consulting, and People Consulting, leveraging strong sector-specific knowledge. Being part of the EY Europe West network, a leading consultancy in the region, EY Consulting France provides its 1200 employees with: - Opportunities to work with top international clients in their respective sectors within diverse and multicultural teams - Possibilities for geographic mobility - Membership in international competency and sector-specific communities comprising top-notch professionals in Europe The current environment presents numerous challenges and uncertainties coupled with increasing competition. To unlock their full potential and ensure success, companies must continuously enhance their performance and manage risks, including technological risks related to information systems, digital technologies, and emerging technologies. In line with our ambition to grow at a rate of 1.5 to 2 times the market pace, we are expanding our Risk Consulting team by hiring high-caliber Managers and Senior Managers to strengthen our Responsible AI consulting offering in areas such as AI governance, use case assessment, AI ethics, and compliance with regulations. Your Responsibilities: In this role, you will: - Collaborate with multidisciplinary teams (Data Science, Legal, Cybersecurity, Risk) on complex projects to help clients enhance their performance and manage digital risks - Support General, Financial, Operational, and Information Systems Management in various areas such as risk management, AI governance, compliance, risk analysis, data quality, technological solutions, organizational modernization, and regulatory compliance Additionally, as a Manager or Senior Manager, you will: - Develop and nurture your client portfolio - Contribute to business proposals - Enhance consulting offerings - Lead consultant teams - Independently deliver client activities and outputs - Provide value to clients through your expertise in business processes and sectors - Actively engage in team activities and continuous learning opportunities Our Advantages: SmartWorking at EY enables you to choose work methods that best suit your missions, balancing your preferences/commitments with client services for a transformative work experience. Your Profile: - You hold a higher education degree and have a successful track record of at least 6 years in audit or consultancy, or as a Machine Learning engineer/Data Scientist, with strong knowledge of business processes. Experience in Responsible AI/Data Privacy and/or AI Ethics is a plus. - You possess problem-solving skills, excellent analytical abilities, project management acumen, and a customer-centric approach - Recognized for your communication skills, service orientation, and proficiency in English - Strong commercial development experience - An entrepreneurial mindset with a passion for shaping the Risk Consulting department's evolution Join us in embracing the digital revolution and organizational transformation at EY Consulting, where our diverse roles, team excellence, extensive networks, continuous self-improvement, high-quality standards, and professional ethics form the basis of our reputation and future success. Experience EY Consulting be part of our journey! EY is committed to diversity and encourages applications from all qualified candidates, including those with disabilities.,

NTT DATA is looking for a Salesforce Developer- Agentforce,Experience cloud to join their team in Pune, Maharashtra (IN-MH), India. As a Senior Salesforce Developer, your responsibilities will include leading the design, development, and implementation of AI-driven solutions using Salesforce Einstein features for Sales & Experience cloud. You will collaborate with architects and AI engineers to design solutions for predictive analytics, customer insights, and automation. Integrating third-party applications and data sources with Salesforce via APIs will be a key aspect of your role. You will work closely with product managers, data scientists, and developers to ensure successful implementation of AI/ML solutions aligned with business goals. This includes implementing automated workflows and intelligent data-driven decision systems within Sales Cloud and Experience Cloud. You will be responsible for designing and developing scalable solutions in Salesforce Agentforce and Experience Cloud environments, building and customizing Lightning components, Apex classes, Visualforce pages, Flows, and APIs to support agent and customer portals. Furthermore, you will design and implement seamless integrations with core systems such as policy administration, claims, billing, and document management via REST/SOAP APIs, middleware (e.g., MuleSoft, Boomi), or event-driven architectures. Developing custom components, templates, and branded sites within Experience Cloud to support self-service and agent experiences will also be part of your responsibilities. Gathering requirements from stakeholders and translating them into technical solutions, maintaining and optimizing data models, sharing rules, and user roles for different Experience Cloud personas, and ensuring best practices in coding, testing, and DevOps deployment strategies are also key aspects of the role. Troubleshooting production issues, providing ongoing support for Salesforce-based applications, participating in Agile ceremonies, and maintaining technical documentation are part of the responsibilities as well. To be successful in this role, you should have 7+ 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, data integration using REST APIs, handling large datasets within Salesforce, machine learning algorithms, Salesforce architecture, NLP, image recognition, sentiment analysis, AI governance, model explainability, data ethics, and leveraging structured and unstructured data for ML and NLP solutions are required qualifications. Preferred skills include Salesforce certifications in Einstein Analytics and Discovery Consultant, Salesforce Platform Developer II, or Salesforce Certified AI Associate, experience in Salesforce Data cloud, Salesforce Agentforce, Apex, Lightning Web Components (LWC), SOQL, Flow Builder, integrating Salesforce with external systems, designing and managing Experience Cloud sites, and Salesforce certifications like Platform Developer I/II, Experience Cloud Consultant, Integration Architecture Designer. Join NTT DATA, a trusted global innovator of business and technology services, and be part of a diverse team committed to helping clients innovate, optimize, and transform for long-term success. Visit us at us.nttdata.com.,

Join our Chief Data and Analytics Office to develop enterprise-scale, cutting-edge platforms for Data Management & Analytics and AI/ML Operations utilized firm-wide by the JPMC workforce for Artificial Intelligence (including generative AI)/Machine Learning (AI/ML) development and Data Management. As a Product Director - Data Governance in the Chief Data & Analytics Organization at JP Morgan Chase, you will be responsible for leading the development of product strategies and major initiatives focused on Data Management governance frameworks, policies, and procedures. Your role is crucial in ensuring the ethical and compliant use of AI & Data Management technologies across the organization. You will be involved in integrating Data Management technology into the company's infrastructure while adhering to sustainable best practices aligned with JPMC technology, operational risk, and relevant regulations. Collaboration with cross-functional teams, including the firm-wide Chief Data Officer, data scientists, engineers, legal, compliance, and business units, will be essential to promote AI & Data Management governance initiatives meeting regulatory requirements and industry standards. Additionally, overseeing the local team to ensure effective delivery of risk and control measures, action plans, control processes, and readiness for audits and regulatory examinations is part of your responsibilities. Responsibilities: - Drive product strategy by designing user-friendly products incorporating comprehensive AI governance frameworks, policies, and procedures to ensure the ethical use of AI technologies. - Ensure compliance with relevant AI & Data Management regulations, standards, and guidelines such as GDPR, CCPA, and emerging regulations. - Identify, assess, and mitigate risks related to AI & Data Management technologies including data quality, privacy, bias, transparency, and accountability. - Lead the entire product life cycle from planning to execution, continuously adapting, developing new products and methodologies to achieve business targets. - Coach and mentor the product team on best practices, enabling them to effectively deliver on objectives. - Own product performance and drive enhancements to meet business objectives. - Monitor market trends, conduct competitive analysis, and identify opportunities for product differentiation. - Collaborate with cross-functional teams to align product strategy with business objectives. Required qualifications, capabilities, and skills: - 10+ years of experience delivering products, projects, or technology applications within the AI & Data Governance area. - Extensive knowledge of the product development life cycle, technical design, data analytics, and cloud usage. - Proven ability to influence key product life cycle activities and drive change within organizations. - Experience in executive-level product management within a large organization. - Strong strategic thinking and product development skills. - Excellent communication, leadership, and problem-solving skills. Preferred qualifications, capabilities, and skills: - Recognized thought leader in a related field. - Familiarity with the centralized Chief Data and Analytics Office operations. - Advanced degree in a related field (e.g., Computer Science, Business Administration). - Demonstrated success in leading cross-functional teams and driving innovation.,

You are looking for a Lead AI Engineer with at least 8 years of experience to join UST at Trivandrum. As a Lead AI Engineer, you will be responsible for designing and implementing end-to-end AI/ML solutions using Python and deep learning frameworks like Keras. Your role will involve working with Generative AI and LLM architectures such as GPT-3 and BERT, as well as leading AI/ML teams and mentoring junior engineers. Your key responsibilities will include developing data pipelines and infrastructure using tools like Kafka, Big Data tools, Aurora DB, and ELK Stack. You will also be expected to deploy and optimize ML models on cloud platforms such as AWS, Azure, or GCP. Your expertise in Time Series Forecasting, Predictive Analytics, and Deep Learning will be crucial in translating business requirements into scalable AI solutions. In addition to hands-on experience in AI and Machine Learning, you should have a strong programming background in Python, Keras, and Pandas. Knowledge of advanced ML models like LangChain, GPT-3, and Transformers, as well as analytical models such as Time Series Forecasting, will be highly beneficial. Familiarity with databases like ChromaDB/Pinecone is also desired. Experience with PoC creation, model experimentation, and AI governance principles will be an advantage. You should also keep abreast of emerging trends and tools in the AI/ML space to evaluate their strategic fit and contribute to AI roadmap planning. UST is a global digital transformation solutions provider known for partnering with leading companies to drive real impact through innovation. With a workforce of over 30,000 employees in 30 countries, UST is committed to embedding innovation and agility into its clients" organizations, touching billions of lives in the process.,

As a Solution Architect/Business Development Manager at NTT DATA, you will play a crucial role in specializing in Hyperscalers and cloud-based AI services, particularly Large Language Models (LLMs) offered by major cloud providers. Your responsibilities will include assessing client needs, recommending appropriate cloud AI technologies, sizing opportunities and cloud infrastructure requirements, and collaborating with delivery teams to create end-to-end solutions with accurate costing. You will need to demonstrate deep expertise in cloud-based AI services such as AWS Bedrock, Azure OpenAI Service, Google Vertex AI, and their supported models. Your key roles and responsibilities will include solution architecture & technical leadership, business development, project & delivery leadership, and AI agent development. You will be required to develop compelling proposals and solution presentations for cloud-based AI implementations, nurture client relationships, and lead technical discovery sessions with clients. Additionally, you will need to architect multi-agent systems that leverage cloud platform capabilities, develop frameworks for agent orchestration and governance, and design cloud-native agent solutions that integrate with existing enterprise systems. To be successful in this role, you should have at least 8 years of experience in solution architecture or technical consulting roles, with 3 years of specialized experience working with LLMs and Private AI solutions. A strong understanding of cloud infrastructure sizing, optimization, and cost management for AI workloads is essential, along with the ability to convert business requirements into technical specifications. A bachelor's degree in computer science, AI, or a related field is required, and the ability to travel up to 25% may be necessary. Preferred qualifications include a master's degree or PhD in Computer Science or a related technical field, as well as cloud certifications such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, and Google Cloud Professional Cloud Architect. Experience with autonomous agent development using cloud-based AI services, deploying and fine-tuning LLMs on cloud platforms, and prompt engineering and LLM optimization techniques is also desirable. Strong problem-solving abilities, excellent communication skills, and an analytical mindset are essential for this role. This position is based in Delhi or Bangalore and offers a hybrid working environment. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. With a commitment to helping clients innovate, optimize, and transform for long-term success, NTT DATA invests over $3.6 billion each year in R&D. As a Global Top Employer, NTT DATA has diverse experts in more than 50 countries and offers services including business and technology consulting, data and artificial intelligence, industry solutions, application development, infrastructure management, and connectivity.,

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Assistant Vice President-AI Architect/Solution Architect! Position Overview: We are seeking an exceptional Senior Technology Leader to drive AI-led innovation and strategic technology discussions at the highest executive levels (CIO, CDO, CTO, CXO). This role demands a visionary leader who can shape enterprise AI strategy, influence stakeholders, and guide organizations through transformative journeys leveraging Generative AI, Agentic AI, and next-generation technologies. Key Responsibilities: - Act as a trusted advisor to C-level executives (CIO, CDO, CTO, CXO) to shape AI and technology transformation strategies. - Lead enterprise-wide AI thought leadership, including Generative AI, Agentic AI, and emerging technologies. - Develop and drive technology roadmaps aligned with business objectives and innovation priorities. - Represent the organization at industry forums, executive briefings, and key customer engagements. - Partner with product, engineering, data, and business teams to translate vision into executable initiatives. - Identify AI-driven growth opportunities and drive executive buy-in for pilot and scale initiatives. - Build and mentor a high-performing cross-functional team of AI strategists, architects, and engineers. - Lead enterprise education on AI ethics, governance, and responsible AI deployment. Qualifications we seek in you! Minimum Qualifications Education: - Bachelor&rsquos/ Master&rsquos degree in Computer Science , Engineering, Data Science, or related field. - MBA or Executive Education from a reputed institution is a plus. Experience: - Strong Technologist with a background in End to End Solutioning/Architecting experience. - Experience in executive-level advisory roles, engaging with C-suite stakeholders. - Hands-on leadership in AI/ML initiatives, including Generative AI, Agentic AI and Conversational AI. - Experience driving enterprise-scale digital transformation and innovation initiatives. - Proven track record of building and leading high-performance teams in fast-paced environments. Primary Skills (Must-Have): - Executive presence and exceptional communication skills for C-level conversations. - Deep understanding of AI technologies: Generative AI (LLMs), Agentic AI frameworks, Conversational AI, ML Ops. - Deep understanding of one of the Business/Domain expertise - for e.g. Retail, FS, CPG, Life Science, HealthCare. - Strategic thinking and ability to articulate AI&rsquos business impact in boardroom settings. - Strong understanding of AI governance, ethics, risk management, and compliance. - Experience in designing AI-enabled enterprise architectures and data strategies. Preferred Qualifications Secondary Skills (Good-to-Have): - Familiarity with cloud platforms (AWS, Azure, GCP) and AI/ML services offered. - Understanding of data platforms, APIs, integration strategies, and agent-based architectures. - Knowledge of modern software engineering practices (microservices, APIs, DevOps). - Exposure to industry-specific AI applications (Finance, Healthcare, Manufacturing, etc.). - Public speaking experience at conferences, webinars, or industry forums. - MBA or Executive Education from a reputed institution is a plus. Leadership & Personal Attributes: - Visionary thinker with a passion for emerging technologies. - Influential leader with ability to inspire both technical and non-technical audiences. - High emotional intelligence, with ability to build trust at all organizational levels. - Strong executive storytelling capabilities turning complex technology into compelling narratives. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Vice President-AI Architect/Solution Architect! Position Overview: We are seeking an exceptional Senior Technology Leader to drive AI-led innovation and strategic technology discussions at the highest executive levels (CIO, CDO, CTO, CXO). This role demands a visionary leader who can shape enterprise AI strategy, influence stakeholders, and guide organizations through transformative journeys leveraging Generative AI, Agentic AI, and next-generation technologies. Key Responsibilities: - Act as a trusted advisor to C-level executives (CIO, CDO, CTO, CXO) to shape AI and technology transformation strategies. - Lead enterprise-wide AI thought leadership, including Generative AI, Agentic AI, and emerging technologies. - Develop and drive technology roadmaps aligned with business objectives and innovation priorities. - Represent the organization at industry forums, executive briefings, and key customer engagements. - Partner with product, engineering, data, and business teams to translate vision into executable initiatives. - Identify AI-driven growth opportunities and drive executive buy-in for pilot and scale initiatives. - Build and mentor a high-performing cross-functional team of AI strategists, architects, and engineers. - Lead enterprise education on AI ethics, governance, and responsible AI deployment. Qualifications we seek in you! Minimum Qualifications Education: - Bachelor&rsquos/ Master&rsquos degree in Computer Science , Engineering, Data Science, or related field. - MBA or Executive Education from a reputed institution is a plus. Experience: - Strong Technologist with a background in End to End Solutioning/Architecting experience. - Experience in executive-level advisory roles, engaging with C-suite stakeholders. - Hands-on leadership in AI/ML initiatives, including Generative AI, Agentic AI and Conversational AI. - Experience driving enterprise-scale digital transformation and innovation initiatives. - Proven track record of building and leading high-performance teams in fast-paced environments. Primary Skills (Must-Have): - Executive presence and exceptional communication skills for C-level conversations. - Deep understanding of AI technologies: Generative AI (LLMs), Agentic AI frameworks, Conversational AI, ML Ops. - Deep understanding of one of the Business/Domain expertise - for e.g. Retail, FS, CPG, Life Science, HealthCare. - Strategic thinking and ability to articulate AI&rsquos business impact in boardroom settings. - Strong understanding of AI governance, ethics, risk management, and compliance. - Experience in designing AI-enabled enterprise architectures and data strategies. Preferred Qualifications Secondary Skills (Good-to-Have): - Familiarity with cloud platforms (AWS, Azure, GCP) and AI/ML services offered. - Understanding of data platforms, APIs, integration strategies, and agent-based architectures. - Knowledge of modern software engineering practices (microservices, APIs, DevOps). - Exposure to industry-specific AI applications (Finance, Healthcare, Manufacturing, etc.). - Public speaking experience at conferences, webinars, or industry forums. - MBA or Executive Education from a reputed institution is a plus. Leadership & Personal Attributes: - Visionary thinker with a passion for emerging technologies. - Influential leader with ability to inspire both technical and non-technical audiences. - High emotional intelligence, with ability to build trust at all organizational levels. - Strong executive storytelling capabilities turning complex technology into compelling narratives. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Role & responsibilities Overall - At least 8+ years of experience in performing security engineering and assessments of complex systems with AI / ML / Data Science capabilities and services 3+ years of experience auditing existing AI or machine learning systems for security risks and compliance. Development and implementation of AI content filtering mechanisms. Deployment and operation of tools and processes to analyze security threats and vulnerabilities in AI or machine learning systems. Identification and protection of sensitive data within AI solutions. Design and implementation of strategies to protect AI systems from cyber-attacks. Design and implementation of adversarial test plans. Strong analytical and problem-solving skills Excellent communication skills, both written and verbal, with the ability to convey complex information in a clear and concise manner. A commitment to staying current with the latest developments in cybersecurity through ongoing training and professional development. Ability to work both independently and as part of a team in a fast-paced, dynamic environment. Flexible to provide coverage in US morning hours on a need-basis, and as required Preferred candidate profile Bachelor's or master's degree in computer science, mathematics, information systems, engineering, or cybersecurity. Industry certifications such as CISSP, SANS and/or other relevant certifications Experience designing, developing, and deploying secure AI systems. Training in secure coding standards and best practices for AI-related projects. Knowledge of ethical hacking techniques. Ability to develop security protocols and policies. Excellent communication, problem-solving, and analytical skills. Ability to work independently and as part of a team.

You are an experienced OCI AI Architect who will be responsible for leading the design and deployment of Gen AI, Agentic AI, and traditional AI/ML solutions on Oracle Cloud. Your role will involve a deep understanding of Oracle Cloud Architecture, Gen AI, Agentic and AI/ML frameworks, data engineering, and OCI-native services. The ideal candidate will possess a combination of deep technical expertise in AI/ML and Gen AI over OCI along with domain knowledge in Finance and Accounting. Your key responsibilities will include designing, architecting, and deploying AI/ML and Gen AI solutions on OCI using native AI services, building agentic AI solutions using frameworks such as LangGraph, CrewAI, and AutoGen, leading the development of machine learning AI/ML pipelines, and providing technical guidance on MLOps, model versioning, deployment automation, and AI governance. You will collaborate with functional SMEs, application teams, and business stakeholders to identify AI opportunities, advocate for OCI-native capabilities, and support customer presentations and solution demos. To excel in this role, you should have 10-15 years of experience in Oracle Cloud and AI, with at least 5 years of proven experience in designing, architecting, and deploying AI/ML & Gen AI solutions over OCI AI stack. Strong Python development experience, knowledge of LLMs such as Cohere and GPT, proficiency in AI/ML/Gen AI frameworks like TensorFlow, PyTorch, Hugging Face, and hands-on experience with OCI services are required. Additionally, skills in AI governance, Agentic AI frameworks, AI architecture principles, and leadership abilities are crucial for success. Qualifications for this position include Oracle Cloud certifications such as OCI Architect Professional, OCI Generative AI Professional, OCI Data Science Professional, as well as a degree in Computer Science or MCA. Any degree or diploma in AI would be preferred. Experience with front-end programming languages, Finance domain solutions, Oracle Cloud deployment, and knowledge of Analytics and Data Science would be advantageous. If you are a highly skilled and experienced OCI AI Architect with a passion for designing cutting-edge AI solutions on Oracle Cloud, we invite you to apply and join our team for this exciting opportunity.,

The position based in Riyadh, Saudi Arabia involves leading AI operations and cloud automation initiatives for private cloud infrastructure within a Telco service provider environment. As a Multicloud Expert reporting to the Program Manager- Cloud, your main objective is to develop and manage an AIOps framework, define use cases, tools, and platforms, and build an AI adoption roadmap to drive business value realization. Your responsibilities will include: - Leading the development and implementation of an AIOps framework for private cloud infrastructure, integrating AI-powered observability and automation. - Defining AIOps use cases and calculating business value realization to align with strategic goals. - Developing and maintaining a comprehensive AI adoption roadmap for cloud-native Telco/IT infrastructure. - Managing deployment and integration of AIOps tools with existing infrastructure. - Collaborating with cross-functional teams to build closed-loop automation and self-healing capabilities. - Designing, testing, and programming automation equipment and processes to enhance operational efficiency. - Ensuring AI governance, model explainability, and effective use of AI in network operations. - Supervising automation processes to maintain performance and quality standards. - Identifying and resolving quality issues and defects in AIOps and automation solutions, writing detailed reports. - Monitoring advancements in AIOps and cloud technologies to maintain a state-of-the-art implementation. Qualifications and Experience required: - Bachelors or Masters degree in Computer Science, Data Science, or a related field from a reputed university. - Minimum 8 years of experience in cloud-native operations or telecom network automation, including 3 years in AI Ops or cloud automation roles. - Expertise in AIOps, machine learning engineering, and applied AI for IT/network operations. - Hands-on experience with cloud platforms for Telco workloads. - Strong AI Ops and cloud automation skills, including AI/ML pipeline development, automation scripting, observability design, and incident management automation. - Ability to lead technical and functional aspects of AI Ops initiatives, balancing AI/ML expertise with process automation and cross-functional collaboration. - Excellent communication, leadership, negotiation, presentation, coaching, and mentoring skills. - Industry-recognized certifications in AIOps, cloud, or AI technologies are desirable.,

As a Solution Architect/BDM specializing in Hyperscalers at NTT DATA, your role is crucial in assessing client needs, recommending appropriate cloud AI technologies, and collaborating with delivery teams to create end-to-end solutions. You are expected to demonstrate deep expertise in cloud-based AI services and Large Language Models (LLMs) offered by major cloud providers such as AWS Bedrock, Azure OpenAI Service, and Google Vertex AI. Your responsibilities include translating client business requirements into detailed technical specifications, sizing cloud infrastructure requirements, and optimizing cost models for AI workloads. In terms of business development, you will be responsible for sizing and qualifying opportunities in the Cloud AI space, developing proposals and solution presentations, nurturing client relationships, and collaborating with sales teams to create competitive go-to-market strategies. Additionally, you will play a key role in project and delivery leadership by working with delivery teams to develop solution approaches, lead technical discovery sessions, and ensure technical solutions meet client requirements. Your role will also involve AI Agent Development, where you will architect multi-agent systems leveraging cloud platform capabilities, develop frameworks for agent orchestration, and design cloud-native agent solutions that integrate with existing enterprise systems. Furthermore, your knowledge, skills, and attributes should include a strong understanding of cloud infrastructure sizing, optimization, and cost management for AI workloads, as well as the ability to convert business requirements into technical specifications. Basic qualifications for this position include 8+ years of experience in solution architecture or technical consulting roles, 3+ years of specialized experience working with LLMs and Private AI solutions, and a bachelor's degree in computer science, AI, or related field. Preferred qualifications include a master's degree or PhD in Computer Science or related field, cloud certifications from AWS, Azure, or GCP, and experience with autonomous agent development using cloud-based AI services. This position is based in Delhi or Bangalore and offers a hybrid working environment. NTT DATA, a trusted global innovator of business and technology services, is committed to helping clients innovate, optimize, and transform for long-term success. With a diverse team of experts in more than 50 countries, NTT DATA invests significantly in R&D to support organizations and society in embracing the digital future. As an Equal Opportunity Employer, NTT DATA values diversity and inclusion, making it a place where you can grow, belong, and thrive.,

We are looking for exceptional individuals to join our team at ScalePad as Head of AI Engineering. ScalePad is a prominent software-as-a-service (SaaS) company operating globally to provide Managed Service Providers (MSPs) with the tools and support needed to enhance client value in the ever-evolving IT landscape. As a member of our tech-management team, you will lead AI development initiatives, shape our AI strategy, and guide teams in creating impactful AI applications. This hands-on leadership role involves mentoring teams, improving developer productivity, and ensuring best practices in AI development, software engineering, and system design. Your responsibilities will include designing state-of-the-art AI applications, leveraging advanced techniques such as Machine Learning (ML), Large Language Models (LLMs), Graph Neural Networks (GNNs), and Retrieval-Augmented Generation (RAG). You will also focus on fostering an environment of responsible AI practices, governance, and ethics, advocating for AI-first product thinking, and collaborating with various teams to align AI solutions with business objectives. To excel in this role, you should possess strong technical expertise in AI, ML, software architecture principles, and have a proven track record of integrating AI advancements into engineering execution. Additionally, experience in AI governance, ethics, and managing globally distributed teams will be essential. We are seeking a curious, hands-on leader who is passionate about developing talent, driving innovation, and ensuring AI excellence within our organization. Joining our team at ScalePad will offer you the opportunity to lead the evolution of AI-driven products, work with cutting-edge technologies, and make a global impact by influencing AI-powered decision-making at an enterprise level. As a Rocketeer, you will enjoy ownership through our Employee Stock Option Plan (ESOP), benefit from annual training and development opportunities, and work in a dynamic, entrepreneurial setting that promotes growth and stability. If you are ready to contribute to a culture of innovation, collaboration, and success, we invite you to apply for this role. Please note that only candidates eligible to work in Canada will be considered. At ScalePad, we are committed to fostering Diversity, Equity, Inclusion, and Belonging (DEIB) to create a workplace where every individual's unique experiences and perspectives are valued. Join us in building a stronger, more inclusive future where everyone has the opportunity to thrive and grow.,

Key Deliverables: Lead AI innovation and develop scalable ML features across strategic projects Define and implement AI governance, ensuring compliance with ethical and legal standards Guide and manage a high-performing team of data scientists through mentoring and leadership Collaborate with engineering and legal to integrate AI solutions at scale Role Responsibilities: Frame and scope complex data science problems with multiple business stakeholders Promote responsible AI and ensure risk assessments and mitigation strategies are in place Set strategic direction for data science initiatives and influence architectural decisions Represent Tesco in external data science communities and academic collaborations

Role & responsibilities Perform AI model training activities such as generating/loading large datasets, document samples, process documentation, and prompts to support rapid and complete development of high impact models. Execute daily monitoring of AI and process performance. Identify, troubleshoot, and resolve issues with AI-based process performance in collaboration with users and various stakeholders Identify and drive implementation of improvements in process, AI prompts, and model accuracy and completeness in conjunction with Ecolab Digital AI team. Support objectives to ensure AI performance meets business value objectives. Ensure compliance with established responsible AI policies. Maintain documentation on AI processes. Monitoring the performance of business processes, such as cash applications, order processes, and billing. Identifying issues and resolving them in collaboration with development teams. Providing training data sets for AI models. Interacting with users to understand and solve performance issues in automated processes. Analyzing data and metrics to detect anomalies and optimize processes. Preferred candidate profile Minimum Qualifications: Bachelor's degree in Computer Science, Data Science, or a related field. Masters degree preferred Process domain expertise Experience with AI/ML operations and monitoring tools. Strong problem-solving and analytical skills. Knowledge of AI governance and ethical guidelines. Excellent communication and collaboration skills. Knowledge of machine learning frameworks and libraries Preferred Qualifications: Deep understanding of business processes and how they operate. Technical aptitude to understand systems and processes, including AI solutions. Experience with SAP and ServiceNow is ideal. Competence in data analysis and the ability to interact with large volumes of data. Focus on business analysis and problem-solving rather than software development. Ability to interact with users and provide support in optimizing processes.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

We are seeking a motivated Manager of AI Enablement to join our Data and Analytics organization. In this role, you will promote a culture of Responsible AI across the enterprise, ensuring governance and ethical data management in all business units. You will lead AI risk management, collaborate with cross-functional teams, and integrate governance into the AI lifecycle. Your strategic thinking will enhance efficiency and optimize workflows, while your leadership will explore new AI technologies and manage proof of concepts to keep the organization competitive. Responsibilities include monitoring AI models for responsible use, equipping teams with best practices, empowering staff, and ensuring the right talent is onboarded for AI initiatives. You will coordinate with our Data and Model Stewards Network to implement and monitor Model Policies and Ethics Frameworks across key domains. This role also involves working on AI ethics research projects and using AI to enhance the organization's efficiency and optimize workflow. This role is crucial in upholding regulatory standards and mitigating AI-related risks, contributing to the future of AI governance and enablement. About the Role In this opportunity as Manager, AI Enablement , you will: As the Manager of AI Enablement, you will play a critical role in our AI Enablement team within the Data and Analytics organization. This position is vital in embedding responsible AI practices across all business units, ensuring that our AI initiatives are innovative, ethically sound, and compliant with governance standards. You will collaborate with cross-functional teams to drive AI risk management and help the organization stay ahead of market trends through strategic AI implementations. Champion the development of a culture that values Responsible AI and data across the enterprise. Oversee AI risk management processes and collaborate closely with cross-functional teams. Think creatively about using AI to increase organizational efficiency and optimize workflow. Explore new AI technologies and work with vendors or partners on proof of concepts and implementations. Monitor AI models for responsible considerations and equip business functions with responsible AI development and deployment practices. Coordinate and collaborate with our distributed Data and Model Stewards Network. Define, implement, and monitor Model Policies, Standards, and Ethics Framework across critical business domains. About You You're a fit for the role of Manager of AI Enablement if your background includes: Experience in AI governance, risk management, and validation. Strong understanding of ethical considerations in AI and data management. Proven leadership skills with experience in managing cross-functional teams. Excellent communication and collaboration skills. Ability to think strategically and drive innovation within an organization. Experience in implementing AI technologies and managing proof of concepts. Experience working with vendors and partners in AI technology implementations. Familiarity with regulatory standards related to AI and data governance. Advanced degree in a relevant field such as Computer Science, Data Science, or AI. Join us and be a part of a team that is shaping the future of AI governance and enablement!

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.