32 Responsible Ai Jobs

As a Principal/Lead AI Engineer at Simpplr, you will play a crucial role in transforming the platform from AI-enabled to AI-native. Your responsibilities will include designing, coding, and leading the development of Simpplr's AI-native platform with a focus on explainability, traceability, observability, and auditing. You will deliver enterprise-scale AI capabilities using advanced technologies such as MCP, RAG, multimodal processing, LLMs, SLMs, and custom ML models. Additionally, you will define technical strategies, align with product and engineering leaders, and champion Responsible AI principles to ensure compliance with security and governance standards. Key Responsibilities: - Design, code, and lead the build of Simpplr's AI-native platform with core capabilities of explainability, traceability, observability, and auditing. - Deliver enterprise-scale AI capabilities using technologies such as MCP, RAG, multimodal processing, LLMs, SLMs, and custom ML models. - Define technical strategy and roadmap, align with product and engineering leaders to deliver customer value at speed and scale. - Establish Responsible AI principles including bias detection, privacy-by-design, and compliance with security and governance standards. - Build robust AIOps and MLOps pipelines with versioning, CI/CD, monitoring, rollback, and drift detection. - Mentor engineers and data scientists to build high-trust and high-performance AI teams. - Partner with cross-functional teams to integrate AI into core product experiences and ensure measurable impact on user engagement and productivity. Qualifications Required: - 8+ years in applied AI/ML engineering with proven leadership in building complex, high-scale AI platforms or products. - Experience in designing and delivering advanced AI solutions using LLMs/SLMs, MCP architecture, RAG pipelines, Vector DBs, Agentic AI workflows, and automations. - Strong background in AIOps/MLOps, data engineering, and large-scale inference optimization. - Ability to build and nurture high-performing AI teams and foster a culture of innovation, accountability, and trust. - Curiosity and eagerness to learn about next generations of agentic AI workflows, personalization, and LLM-based solutions. Technical Skill Sets: - AI/ML: LLMs, MCP, RAG, multimodal generation, SLMs, prompt engineering. - Programming: Python, PyTorch/TensorFlow, scikit-learn. - Data Engineering: SQL/NoSQL, Snowflake, BigQuery, Databricks. - MLOps & AIOps: CI/CD, model versioning, monitoring, observability, Docker, Kubernetes, Kafka, Spark, MLFlow. - Cloud Infrastructure: AWS, GCP, Azure; Terraform, Ansible. - Responsible AI & Governance: Bias detection, interpretability, audit trails, privacy-by-design. You will be an ideal candidate if you are a builder-leader who can design enterprise-grade systems, ship production code, and mentor a high-performance team. Your focus on Responsible AI and operational realities will be key in creating the backbone of Simpplr's Agentic universe. Excited by the challenge of building the foundational components of an AI-native platform, you will drive innovation and excellence in AI engineering at Simpplr.,

You will be working on building a multi-tenant AI-governance platform on Microsoft Azure. Your responsibilities will include designing and implementing secure, scalable services, integrating Azure ML Responsible AI tooling and Microsoft Purview, and enforcing policy guardrails with Azure Policy. Key Responsibilities: - Design and build multi-tenant back-end services on Azure (App Service/AKS/Functions) behind Azure API Management. Implement tenant isolation, rate limits, and API versioning. - Integrate Azure ML (model registry/endpoints) and Responsible AI Dashboard/Toolbox to generate fairness, error, and explainability reports. - Implement Azure AI Content Safety checks in the prompt/response path. - Connect datasets, prompts/outputs, and lineage to Microsoft Purview; build audit/reporting workflows (AI Foundry Purview). - Enforce Azure Policy baselines (networking, encryption, diagnostics), IAC for repeatable deployments. - Build observability (App Insights/Log Analytics), SLOs, alerting, and secure secret management (Key Vault). - Collaborate with Product and Compliance on governance features (access reviews, approvals, audit exports). Qualifications Required: - 5+ years building cloud services (preferably Azure) with multi-tenant architectures. - Hands-on experience with API Management, App Service or AKS, Functions, Key Vault, Azure Monitor/Log Analytics. - Experience with Azure ML (endpoints/registry) and RAI tooling or equivalent ML governance stack. - Proficiency in C#/.NET or Node.js/TypeScript or Python; SQL/Cosmos; CI/CD (GitHub Actions/Azure DevOps). - Security/Compliance fundamentals: RBAC, Private Endpoints, encryption at rest/in transit; Azure Policy. In addition to the above qualifications, it would be nice to have experience with Microsoft Purview (catalog, lineage, access policies) and Azure AI Foundry. Content moderation integrations (Azure AI Content Safety) and experience in regulated environments (health/finance), data residency/sovereignty are also considered beneficial. Please note that the role also involves collaborating with Product and Compliance teams on governance features such as access reviews, approvals, and audit exports.,

You will be responsible for designing and implementing a multi-tenant AI-governance platform on Microsoft Azure. Your role will involve building secure and scalable services, integrating Azure ML Responsible AI tooling and Microsoft Purview, and enforcing policy guardrails with Azure Policy. Your responsibilities will include designing and building multi-tenant back-end services on Azure behind Azure API Management, implementing tenant isolation, rate limits, and API versioning. You will integrate Azure ML and Responsible AI Dashboard/Toolbox to generate fairness, error, and explainability reports. Additionally, you will implement Azure AI Content Safety checks in the prompt/response path and connect datasets, prompts/outputs, and lineage to Microsoft Purview. Furthermore, you will enforce Azure Policy baselines, implement Infrastructure as Code (IAC) for repeatable deployments, build observability using App Insights and Log Analytics, set up SLOs, alerting mechanisms, and manage secure secrets using Key Vault. Collaboration with Product and Compliance teams on governance features such as access reviews, approvals, and audit exports will also be part of your responsibilities. The required skills for this role include at least 5 years of experience in building cloud services, preferably on Azure, with multi-tenant architectures. You should be familiar with API Management, App Service or AKS, Functions, Key Vault, Azure Monitor, and Log Analytics. Experience with Azure ML (endpoints/registry) and Responsible AI tooling or equivalent ML governance stack is essential. Proficiency in programming languages such as C#/.NET, Node.js/TypeScript, or Python, along with knowledge of SQL/Cosmos and CI/CD tools like GitHub Actions or Azure DevOps, is required. Understanding security and compliance fundamentals like RBAC, Private Endpoints, encryption at rest/in transit, and Azure Policy is also necessary. Nice to have skills include experience with Microsoft Purview and Azure AI Foundry, content moderation integrations such as Azure AI Content Safety, and working in regulated environments like health or finance with knowledge of data residency and sovereignty. In your first 90 days, you are expected to ship a secure tenant onboarding flow with RBAC and data partitioning, set up Azure API Management with the first governance microservice implementing Content Safety checks, and register a sample model in Azure ML while attaching Responsible AI reports and streaming lineage to Purview.,

As a Responsible AI Engineer, your primary role will involve assessing AI systems to ensure adherence to predefined thresholds and benchmarks related to responsible, ethical, and sustainable practices. You will be responsible for designing and implementing technology mitigation strategies to guarantee that systems meet ethical and responsible standards. Your expertise in Responsible AI will be crucial in this role. Your responsibilities will include acting as a Subject Matter Expert (SME) with deep knowledge and experience, utilizing influencing and advisory skills, and making team decisions. Collaboration with multiple teams to contribute to key decisions and providing solutions that are applicable across various teams will be essential. You will be tasked with developing and implementing responsible AI frameworks, conducting audits and assessments of AI systems for ethical compliance, and working with cross-functional teams to integrate responsible AI practices. In order to excel in this role, you must possess proficiency in Responsible AI and have a strong understanding of statistical analysis and machine learning algorithms. Hands-on experience in implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms is essential. Additionally, familiarity with data visualization tools like Tableau or Power BI, as well as data munging techniques including data cleaning, transformation, and normalization, will be required to ensure data quality and integrity. The ideal candidate for this position should have a minimum of 15 years of experience in Responsible AI. This role is based at our Pune office and requires a 15 years full-time education.,

Be a leader committed to understanding customer needs with your advanced knowledge of product development, design, data analytics, and responsible AI delivering impactful, compliant, and scalable solutions. You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high quality products that resonate with clients leveraging AI across machine learning, NLP, retrieval, and generative techniques (with agentic orchestration as one option among many). Job summary As a Product Manager in Legal & Regulatory Control Operations (LRCO) Product , you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you act as the voice of the customer and develop profitable products that provide measurable value. You guide successful launches, collect feedback, and ensure top tier client experiences delivering a broad AI toolkit including predictive analytics, machine learning, natural language processing, retrieval?augmented generation, workflow automation, and agentic approaches as appropriate. With a strong commitment to scalability, resiliency, stability, and responsible AI, you collaborate closely with cross?functional teams to deliver compliant, high-quality products that exceed customer expectations. Job responsibilities Own and prioritize the product backlog and roadmap, balancing AI capabilities with core features to meet strategic goals and regulatory constraints. Assist discovery and researchto identify AI use cases across ML, NLP, information retrieval (e.g., RAG), optimization, predictive analytics, and workflow automation-evaluating build/buy/partner options (agentic methods included when they add value). Establish success metrics and instrumentation, including adoption, accuracy/precision/recall, time?to?resolution, cost?to?serve, reliability/latency, and risk posture. Drive cross?functional deliverywith Engineering, Data Science/ML, UX, Operations, Compliance, Legal, and Risk to ship AI capabilities, classification, anomaly detection, recommendations, and decision support with human?in?the?loop where appropriate. Champion Responsible AI, ensuring data governance, privacy, security, explain ability, fairness, evaluation rigor, monitoring, and model risk management across the model lifecycle. Translate customer pain points into AI powered solutions for example regulatory change intelligence, control monitoring, case triage/routing, knowledge retrieval, evidence synthesis, redaction/PII detection-and validate via pilots and A/B tests. Support and troubleshooting: partner with teams to resolve issues, prioritize fixes, and drive continuous improvement based on telemetry and customer feedback. Author epics, user stories, and acceptance criteria(including offline/online evaluation plans) and manage delivery using Agile practices and tools (Jira, Confluence). Plan change managementfor AI features (enablement, documentation, training, support readiness) and track business impact post?launch. Manage platform and vendor ecosystem(LLM platforms, vector stores, orchestration frameworks, MLOps/monitoring, analytics) to optimize cost, performance, and SLAs. Coach, mentor and motivate project team members, influencing them to act and take accountability for their assigned work Required qualifications, capabilities, and skills Leverage 8+ years of experience or equivalent expertise in product management or a relevant domain. Apply advanced knowledge of the product development lifecycle, design, and data analytics. Lead discovery, ideation, strategy, requirements, and value management in complex environments. Operate effectively in a highly matrixed, complex organization. Translate AI technologies, including machine learning, NLP, and generative AI, into business value. Utilize Agile processes and tools like Confluence, JIRA, and Git. Collaborate with Data Science/ML and Engineering teams be familiar with AI platforms and tooling. Make data-driven decisions using experimentation, statistical thinking, and telemetry. Apply knowledge of Responsible AI, privacy, security, compliance, and model risk management. Communicate complex AI concepts to non-technical stakeholders and senior leaders effectively. Adapt and solve problems with strong organization and execution skills in dynamic environments.

As an AI/ML Consultant specializing in Generative AI and Machine Learning, you will leverage your 8+ years of experience to lead and deliver AI initiatives in the Healthcare, BFSI, and Manufacturing sectors. Your role will involve collaborating with stakeholders to develop scalable AI solutions that integrate Generative AI techniques like LLMs and transformers with traditional ML approaches such as time series analysis, classification, and deep learning. Your core responsibilities will include: AI/ML Strategy & Delivery: - Leading end-to-end AI/ML projects, from concept to implementation. - Working closely with stakeholders to transform business requirements into effective AI solutions. - Applying a combination of Generative AI and traditional ML methods to address diverse industry challenges. Technical & Platform Expertise: - Designing and implementing GenAI solutions using technologies like LLMs, agentic AI, and LangChain. - Hands-on experience with NLP, RAG, LoRA/PEFT, and prompt engineering. - Proficiency in Python programming and familiarity with TensorFlow, PyTorch, and HuggingFace. - Expertise in working with vector databases such as FAISS, Chroma, and Pinecone. - Implementing MLOps best practices, including CI/CD and ML model lifecycle management with tools like MLflow. Integration & Innovation: - Developing AI-powered applications using frameworks like Streamlit and FastAPI. - Deploying models on cloud platforms like AWS, Azure, and GCP, as well as GPU/TPU accelerators. - Collaborating with engineering and product teams to integrate AI solutions into enterprise systems. Qualifications for this role include: - 8+ years of experience in AI/ML, with at least 2-3 years in client-facing or leadership positions. - Demonstrated expertise in leading complex AI programs and providing guidance to senior executives. - Bachelor's or Master's degree in Computer Science, Data Science, AI, or related fields. - Industry certifications in AWS, Azure, GCP, or Databricks would be beneficial. - Knowledge of regulated industries such as Healthcare, Pharma, and BFSI is preferred. In addition to your technical skills, strong communication abilities will be essential for effectively conveying complex technical concepts to non-technical audiences. Stay informed about the latest AI trends, including multimodal models and ethical AI practices, to drive innovation and maintain industry relevance.,

As a S&C GN AI - Insurance AI Consulting Manager at Accenture, you will be responsible for driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Your role will involve providing strategic advisory services, conducting market research, and developing data-driven recommendations to enhance business performance. You will have the opportunity to work within Accenture Global Network, a unified powerhouse that combines the capabilities of Strategy & Consulting with Data and Artificial Intelligence. This role offers continuous opportunities for learning and growth within a diverse and vibrant global community that pushes the boundaries of business capabilities. Key responsibilities include: - Demonstrating a complete understanding of the current state of affairs in machine learning and AI - Interacting with clients to understand their requirements and transforming them into a business framework, providing advanced analytics solutions - Managing a team of data scientists and data engineers - Providing regular coaching to the team on team management and advanced analytical concepts The ideal candidate will have: - Relevant experience in the required domain - Strong analytical, problem-solving, and communication skills - Ability to work in a fast-paced, dynamic environment Qualifications: - Bachelor's degree in economics, mathematics, computer science/engineering, operations research, or related analytics areas - MBA from a top-tier academic institution - Minimum 7 years of experience in Advanced Analytics with at least 4 years of experience in the Insurance domain - Experience in working in dual shore engagement and managing clients directly - Managerial experience in leading analytics teams, including career management of offshore staff, training, and recruiting In this role, you will have the opportunity to work on innovative projects, experience career growth, and gain leadership exposure. Join Accenture, ranked 10th on the 2023 World's Best Workplaces list, and be a part of a great place to work.,

Job Description Skills needed to succeed in the job u2013 10-13 years of software development experience. Hands on coding and design background. Proficient in Python, AWS, K8, Dockers, load balancing, API development, .Net, UI Frameworks like REACT, Typescripts. Knowledgeable about Gen AI u2013 LLMs, prompt engineering. Good understanding of Security requirements and responsible AI. Ability and interest to learn new programing language, evolving technologies. Passionate to automate. Build, maintain and enhance pipelines u2013 CI & CD. Ability to explore and rapid prototyping through effective collaboration across geographies A continuous learner, CURIOUS and goal oriented. Proactive in building on ideas. End to end thinking. Ability to take a step back and have a holistic approach to the problem solving. How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the companyu2019s facilities. Field roles are most effectively done outside of the companyu2019s main facilities, generally at the customersu2019 or suppliersu2019 locations. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. u2022 Learn more about . u2022 Discover . u2022 Learn more about . If youu2019re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion . #LI-PHILIN #LI-Onsite #LI-EU

Join us at Barclays in the role of Strategic Adoption AI Engineer, where you will be tasked with enhancing existing processes, reporting, and controls to ensure flawless execution of BAU. Your responsibilities will include driving efficiencies, implementing process improvements, and standardizing processes across SBUs wherever feasible. At Barclays, we not only anticipate the future but also actively participate in creating it. To excel in this role, you should possess the following skills: - Proficient programming abilities in Python and hands-on experience with ML libraries such as scikit-learn, TensorFlow, and PyTorch. - Familiarity with automation tools like Jenkins, GitHub Actions, or GitLab CI/CD for streamlining ML pipelines. - Strong knowledge of Docker and Kubernetes for facilitating scalable deployments. - Extensive experience with various AWS services like SageMaker, Bedrock, Lambda, CloudFormation, Step Functions, S3, and IAM. - Managing infrastructure for training and inference using AWS S3, EC2, EKS, and Step Functions. - Expertise in Infrastructure as Code tools like Terraform, AWS CDK. - Familiarity with model lifecycle management tools such as MLflow, SageMaker Model Registry. - Solid understanding of applying DevOps principles to ML workflows. Additionally, valuable skills may include: - Experience with Snowflake and Databricks for collaborative ML development and scalable data processing. - Knowledge of data engineering tools like Apache Airflow, Kafka, Spark. - Understanding of model interpretability, responsible AI, and governance. - Contributions to open-source MLOps tools or communities. - Strong leadership, communication, and cross-functional collaboration skills. - Understanding of data privacy, model governance, and regulatory compliance in AI systems. - Exposure to LangChain, Vector DBs like FAISS, Pinecone, and retrieval-augmented generation (RAG) pipelines. Your assessment may focus on critical skills essential for success in this role, including risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology expertise. This position is located at our Pune office. **Purpose of the role:** To design, develop, and enhance software solutions using various engineering methodologies to provide business, platform, and technology capabilities for our customers and colleagues. **Accountabilities:** - Develop and deliver high-quality software solutions using industry-aligned programming languages, frameworks, and tools. Ensure scalability, maintainability, and performance optimization of the code. - Collaborate with product managers, designers, and engineers to define software requirements, devise solution strategies, and integrate them seamlessly with business objectives. - Engage in peer collaboration, participate in code reviews, and promote a culture of code quality and knowledge sharing. - Stay updated on industry technology trends, contribute to organizational technology communities, and foster technical excellence and growth. - Adhere to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. - Implement effective unit testing practices to ensure proper code design, readability, and reliability. **Assistant Vice President Expectations:** - Provide advice and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness. Collaborate closely with other functions/business divisions. - Lead a team in performing complex tasks, using professional knowledge and skills to impact the entire business function. Set objectives, coach employees, appraise performance, and determine reward outcomes. - Demonstrate clear leadership behaviours to create an environment for colleagues to thrive and deliver excellent results. The four LEAD behaviours are: Listen and be authentic, Energise and inspire, Align across the enterprise, Develop others.,

We are searching for an experienced and innovative Artificial Intelligence (AI) Tech Lead to join our dynamic team. What You Do As an AI Tech Lead, you will help design, build, and optimize AI-first systems and solutions that advance our digital capabilities and create real value for our clients. Provide technical leadership and mentorship to a multidisciplinary AI team. Collaborate with stakeholders to identify business opportunities and AI use cases. Translate abstract business problems into concrete, innovative AI solutions. Drive code quality, robust architecture, and documentation within technical teams. Facilitate knowledge sharing, peer reviews, and upskilling within the AI team. You will collaborate with cross-functional teams. Work on Valtechs various AI Accelerators What We Ask 3+ years of hands-on experience in AI engineering and 10+ years of overall work experience. Proficiency with programming languages such as Python. Knowledge of software engineering best practices including source control, CI/CD, and automated testing. Familiarity with cloud technologies and managed AI services such as Azure Machine Learning, AWS SageMaker, or Google AI Platform. Understanding of responsible AI, data privacy, and ethical AI development. Understanding of AI Concepts like LLMs, RAG, AgenticAI, MCPs. Stay updated with the latest AI research and technologies. Prior involvement in MLOps, model deployment, monitoring, and automation of AI workflows. Strong critical thinking, communication, and teamwork skills, with a willingness to share ideas and collaborate. Zeal to learn & Excel. What We Offer Joining the Valtech global team puts you in the ranks of a pioneering digital innovator worldwide. We focus on delivering quality services to clients, fostering the growth and development of our workforce. As an integral member of the team, you will have the opportunity to pave your career path while significantly contributing to our business success. At Valtech, were here to engineer experiences that work and reach every single person. To do this, we are proactive about creating workplaces that work for every person at Valtech. Our goal is to create an equitable workplace which gives people from all backgrounds the support they need to thrive, grow and meet their goals (whatever they may be). You can find out more about what were doing to create a Valtech for everyone here. Please do not worry if you do not meet all of the criteria or if you have some gaps in your CV. Wed love to hear from you and see if youre our next member of the Valtech team! Show more Show less

EY Consulting accompagne ses clients dans la russite de leurs transformations stratgiques, au service d'une croissance conomique durable et inclusive et de la construction d'un monde du travail meilleur. Notre offre s'articule autour de quatre grands domaines d'expertise : Risk Consulting, Business Consulting, Technology Consulting et People Consulting, et s'appuie sur des expertises sectorielles fortes. Membre du rseau EY Europe West, leader du conseil sur la rgion, EY Consulting France offre ses 1200 collaborateurs l'opportunit de travailler pour les plus grands clients internationaux leaders dans leurs secteurs, au sein d'quipes internationales et multiculturelles. Des possibilits de mobilit gographique sont galement offertes, ainsi que l'appartenance des communauts de comptences et sectorielles internationales, composes de professionnels parmi les meilleurs en Europe. EY Consulting propose une multitude d'expriences vivre, de nombreux secteurs explorer, et des rencontres hors du commun. Bienvenue dans notre monde en mouvement perptuel ! Le contexte actuel est marqu par de nombreux dfis et incertitudes, combins une concurrence toujours croissante. Pour atteindre leur potentiel et assurer leur russite, les entreprises doivent continuellement amliorer leurs performances et grer les risques, notamment les risques technologiques, aussi bien des systmes d'informations que le digital ou les technologies mergentes. En rponse cela et pour accompagner notre ambition de crotre au rythme de 1,5 2 fois le march, nous renforons notre quipe actuelle de Risk Consulting par le recrutement de consultants Managers et Senior Managers de haut niveau pour notre bureau de Paris, capables de renforcer notre offre de conseil en Responsible AI, notamment sur les domaines suivants : AI governance, Use case assessment, AI Ethics & compliance with regulations. Vos missions : ce poste, vous serez amen(e) : - Travailler avec des quipes pluridisciplinaires (Data Science, Legal, Cybersecurity, Risk) sur des projets complexes pour accompagner nos clients dans l'amlioration de leur performance et la gestion des risques digitaux. - Assister des Directions Gnrales, Financires, oprationnelles et des Systmes d'Information dans la mise en place de cadres de gestion des risques SI et digitaux, de gouvernance de l'intelligence artificielle et la conformit avec les diffrentes exigences rglementaires, l'analyse des risques projet et la gouvernance des SI, la scurisation des donnes, la mise en uvre de solutions technologiques de contrle continu oprationnel, et la modernisation des organisations, des processus et des outils conformment la rglementation. En tant que Manager ou Senior Manager, vous serez galement amen(e) : - Dvelopper et faire vivre votre propre portefeuille clients. - Participer l'laboration de propositions commerciales. - Dvelopper nos offres de conseil. - Manager des quipes de consultants. - Conduire des activits et fournir des livrables clients en autonomie. - Apporter de la valeur ajoute vos clients travers vos connaissances mtiers, process et/ou sectorielles. - Participer activement la vie interne de l'quipe. - Dvelopper vos connaissances en suivant des formations adaptes. En tant que candidat(e) idal(e) : - Vous tes de formation suprieure, avec une exprience russie d'au moins 6 ans en cabinet d'audit ou de conseil, et/ou en tant que Machine Learning engineer ou Data Scientist, ainsi qu'une trs bonne connaissance des processus mtiers. Une exprience dans le domaine Responsible AI/Data Privacy et/ou AI Ethics est un gros plus. - Vous avez un tat d'esprit orient rsolution de problmes, des capacits analytiques et une apptence en gestion de projet. - Reconnu(e) pour vos capacits d'coute, de communication et votre sens du service, vous tes l'aise pour changer en anglais dans un environnement professionnel. - Vous bnficiez d'une forte exprience en dveloppement commercial et vous souhaitez tre acteur de l'volution du dpartement Risk Consulting. Rejoignez-nous dans l're de la rvolution digitale et de la transformation des organisations. Vivez l'exprience EY Consulting.,

As an experienced Python programmer, you will be responsible for developing GenAI applications and automation tools using your deep expertise in Python. Your role will involve the productionization of GenAI applications beyond Proof of Concepts (PoCs) by utilizing scale frameworks and tools such as Pylint and Pyrit. In addition to Python programming, you should be proficient in working with LLM Frameworks, including Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. Your expertise in these frameworks will be essential for enhancing GenAI applications. Moreover, you will leverage your extensive experience with cloud platforms such as Azure, GCP, and AWS to deploy and manage GenAI applications effectively. Your knowledge of at least two of these cloud platforms will be crucial for the success of the projects. You should also possess mastery of fine-tuning techniques like PEFT, QLoRA, LoRA, and other methods to optimize the performance of GenAI applications. Your understanding of these techniques will contribute to the overall efficiency of the applications. Furthermore, your strong knowledge of LLMOps practices for model deployment, monitoring, and management will ensure the seamless operation of GenAI applications. Your expertise in LLMOps will be vital for the successful deployment and maintenance of models. As part of your role, you will be required to implement responsible AI practices and ensure compliance with regulations to uphold ethical standards. Your proficiency in Responsible AI will be essential for developing applications that align with ethical guidelines. Additionally, you should have experience in API integration using protocols such as REST, SOAP, and others. Your familiarity with API integration will enable seamless communication between different systems and enhance the functionality of GenAI applications.,

As an MLOps Engineer at Barclays, you will be responsible for operationalizing cutting-edge machine learning and generative AI solutions. Your main focus will be on ensuring scalable, secure, and efficient deployment across the infrastructure. Collaborating closely with data scientists, ML engineers, and business stakeholders, you will build and maintain robust MLOps pipelines. These pipelines will enable rapid experimentation and reliable production implementation of AI models, including LLMs and real-time analytics systems. To excel in this role, you should have strong programming skills in Python and hands-on experience with ML libraries such as scikit-learn, TensorFlow, and PyTorch. Additionally, familiarity with automation tools like Jenkins, GitHub Actions, or GitLab CI/CD for automating ML pipelines is essential. Proficiency in Docker and Kubernetes for scalable deployments, along with deep experience in utilizing AWS services like SageMaker, Bedrock, Lambda, and CloudFormation, is crucial. Your responsibilities will also involve managing infrastructure for training and inference using AWS services such as S3, EC2, EKS, and Step Functions. Experience with Infrastructure as Code tools like Terraform and AWS CDK, as well as model lifecycle management tools like MLflow and SageMaker Model Registry, will be beneficial. Understanding DevOps principles applied to ML workflows is key to success in this role. Additionally, highly valued skills may include experience with Snowflake, Databricks for collaborative ML development, and knowledge of data engineering tools like Apache Airflow, Kafka, and Spark. An understanding of model interpretability, responsible AI, and governance will further enhance your contributions. Involvement in open-source MLOps tools or communities, strong leadership, communication, and cross-functional collaboration skills, as well as knowledge of data privacy, model governance, and regulatory compliance in AI systems, will be advantageous. This role is based out of Pune and aims to build and maintain infrastructure platforms and products that support applications and data systems. Your accountability will involve developing, delivering, and maintaining high-quality infrastructure solutions that meet business requirements. You will play a crucial role in incident management, automation, security implementation, teamwork, and continuous learning to ensure the reliability, availability, and scalability of systems and platforms. If you are an Assistant Vice President in this role, you will be expected to advise and influence decision-making, contribute to policy development, and ensure operational effectiveness. Collaboration with other functions/business divisions, leadership of complex tasks, and coaching employees towards objectives will be part of your responsibilities. For individual contributors, leading collaborative assignments, guiding team members, identifying new directions for projects, and consulting on complex issues will be key tasks. All colleagues are expected to demonstrate Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, along with the Barclays Mindset of Empower, Challenge, and Drive.,

As a Responsible AI Specialist/ Sr. Analyst at Accenture Strategy & Consulting Global Network, specifically within the Responsible AI COE, you will be at the forefront of the AI revolution, contributing to the development of systems that not only enhance various aspects of life but also raise questions about fairness, interpretability, privacy, and security. The Data and AI landscape is rapidly evolving, and at Accenture, you will have the opportunity to be part of this transformational journey. With a global presence spanning across industries and countries, Accenture offers a platform to work on cutting-edge projects that impact millions of lives while ensuring responsible and inclusive AI technology deployment. Collaborating with a diverse and skilled team within the S&C Global Network, Data & AI division, you will engage in a range of activities from strategy formulation to AI engineering, driving end-to-end business change by leveraging data and AI capabilities. Your role will be pivotal in bringing the Responsible AI vision to life, enabling clients to operate ethically and inclusively with the use of AI technology. By leveraging your consulting background in data science/analytics and a passion for understanding the societal impact of AI systems, you will play a significant part in conducting assessments related to fairness, bias, explainability, model validation, and robustness. Joining the Responsible AI COE at Accenture means being part of a team committed to developing AI products and solutions with a focus on responsibility and trustworthiness. You will work closely with clients, academia, and industry experts to shape innovative approaches to Responsible AI, aligning with Accenture's strategic priorities in this space. Your responsibilities will include consulting with clients on designing user-centered AI systems, contributing to research on Responsible AI, developing best practices and frameworks for scalable implementation, and fostering thought leadership through publications and public engagements. Embark on a rewarding journey with Accenture as a Responsible AI Specialist/ Sr. Analyst, where each day presents new challenges and opportunities to make a meaningful impact on the Responsible AI landscape.,

You are an experienced management consultant with excellent business acumen, looking to join an agile, dynamic, passionate, and fast-growing AI consulting practice based in Delhi NCR, Mumbai, Hyderabad, or Kolkata. You will be a part of the AI Transformation Consulting (ATC) practice under the Global AIX (AI-First & Experience) practice, responsible for selling and delivering AI, Analytics advisory services in India, selected regions in Asia Pacific, and the Middle East. Your role will involve driving value realization office for transformation programs using the proprietary Infosys Value Management (IVM) platform and collaborating with global teams to deliver AI, Automation, and Data engagements for global clients across various sectors. As a member of the ATC team, your responsibilities will include working in client engagements, responding to RFPs, building PoVs or offerings, and coaching a team of 2-6 consultants. You will spend 75-80% of your time on client engagements and 20-25% on anchoring/driving RFP responses, proactive pitches, meeting clients, building PoVs/offerings, and coaching team members. To succeed in this role, you must be self-motivated, collaborative, and possess structured problem-solving capabilities with good presentation skills. You should excel in researching, generating data-driven insights, preparing impactful stories, and be willing to travel within and outside India on short notice. The ideal candidate will have at least 10 years of business consulting or advisory experience, specifically in delivering strategy and implementation engagements on AI, Automation, and Data. Knowledge in Generative AI, Conversational AI, or responsible AI is a plus. You should have a strong understanding of one industry and one functional domain, along with experience in product management, project and program management, and stakeholder management. Proven experience in managing large-scale projects, ensuring timely delivery, and adherence to quality standards is essential, along with familiarity with PMO processes and best practices to drive project success. Joining Infosys Consulting will give you the opportunity to be part of a global management consulting firm that helps renowned brands transform and innovate using disruptive technology. With offices in 20 countries and the support of the global Infosys brand, you will work with industry experts to lead change agendas and navigate the digital landscape for lasting competitive advantage. To learn more about our work, visit www.InfosysConsultingInsights.com.,

As a Consultant at Level 9 in Bangalore or Gurgaon, you will play a crucial role in designing robust data and AI strategies for large transformation deals. Your key responsibilities will involve discovering appropriate business use cases, reimagining process design, and optimizing architecture to ensure effective outcomes. You will define strategies to evaluate clients" existing data and implement AI capabilities, creating future roadmaps through tools like data diagnostics, data and AI maturity assessment, and business case development. Your expertise will be instrumental in establishing and executing data and AI platform strategies for stakeholders, encompassing cloud computing, emerging data and AI platforms, technologies, trends, and ecosystem strategies. You will be responsible for crafting architecture and operating model blueprints, including organizational design, delivery engagement models, and talent & learning roadmaps to facilitate seamless integration and scalability of AI solutions across the organization, in alignment with business objectives and technical prerequisites. Additionally, you will develop strategic roadmaps for AI initiatives implementation, delineating key milestones, dependencies, and timelines to ensure successful execution and alignment with business priorities. Your role will also entail providing thought leadership on emerging data and AI trends, patterns, and technologies, driving proofs of capability and enabling clients to embrace innovation in the data and AI domain. Collaboration with cross-functional teams will be essential in constructing compelling business cases for AI initiatives, conducting comprehensive cost-benefit analyses, ROI assessments, and risk evaluations to aid decision-making and investment prioritization. You will be expected to incorporate Responsible AI principles into the core AI foundation and solution design, devise plans for leveraging ecosystem partners, and establish an operating model to cultivate a culture of innovation and experimentation within the organization.,

As a Senior Scientist specializing in Responsible AI & Research Integration, you will be playing a critical role in bridging the gap between academic research in AI safety and the practical development of AI products. Based in Bangalore, this high-impact position requires 10 to 18 years of experience in the field. Your primary responsibility will be to advance the frontiers of Responsible AI and AI safety through both foundational and applied research. Approximately 60% of your time will be dedicated to conducting research on topics such as model alignment, transparency, behavioral safety, and oversight mechanisms for autonomous systems. The remaining 40% will involve translating these research insights into practical tools, features, and governance components that can be integrated into internal systems and external offerings. Collaboration will be key in this role, as you will work closely with the AI Research Lab and Responsible AI Office to define research agendas and translate findings into product features and governance frameworks. Additionally, you will be involved in building partnerships with academic labs, participating in external working groups, and providing strategic intelligence on the evolving ecosystem of responsible AI technologies and companies. Your responsibilities will also include developing product roadmap specifications, evaluating early-stage startups in the AI safety space, and monitoring the competitive landscape to identify market gaps in responsible AI tooling. Building collaborative relationships with academic labs, research consortia, and external fellows, as well as representing the company in research summits and public forums, will be part of your external engagement activities. To excel in this role, you should have a PhD in Computer Science, Artificial Intelligence, or a related discipline, with a strong publication record in AI safety research. Experience in translating research into production-ready tools, collaborating with interdisciplinary teams, and evaluating early-stage AI companies will be essential. Strong communication skills, the ability to synthesize insights from academic research, and a network within the responsible AI research community will also be valuable assets. If you are passionate about driving advancements in Responsible AI, thriving at the intersection of science, systems thinking, and strategic influence, and have a track record of contributing to cutting-edge research and product development, this role offers a unique opportunity to make a significant impact in the field.,

As a S&C GN AI - Insurance AI Consulting Manager at Accenture, you will play a crucial role in driving strategic initiatives, managing business transformations, and utilizing industry expertise to develop value-driven solutions. Your responsibilities will include providing strategic advisory services, conducting market research, and offering data-driven recommendations to enhance business performance. At Accenture, you will have the opportunity to be part of the Accenture Global Network, a unified powerhouse that integrates Strategy & Consulting with Data and Artificial Intelligence. This dynamic environment is central to Accenture's future growth, providing continuous learning and growth opportunities for individuals. You will join a diverse, vibrant global community that constantly pushes the boundaries of business capabilities. Accenture's recognition as the 10th on the 2023 World's Best Workplaces list underscores its commitment to being a great place to work. In this role, you will need to have a complete understanding of machine learning and AI, interact with clients to understand their requirements, and translate them into business frameworks by providing advanced analytics solutions. Additionally, you will manage a team of data scientists and data engineers, provide coaching on team management and advanced analytical concepts, and demonstrate excellent written and verbal communication skills. The ideal candidate for this position will have a Bachelor's degree in economics, mathematics, computer science/engineering, operations research, or related analytics areas, along with an MBA from a top-tier academic institution. You should have a minimum of 7 years of experience in Advanced Analytics, with at least 4 years of experience in the Insurance domain. Experience in dual shore engagement, direct client management, new business development, and leading analytics teams is essential. You should possess superior analytical and problem-solving skills, along with the ability to thrive in a fast-paced, dynamic environment. This role offers the opportunity to work on innovative projects, experience career growth, and gain exposure to leadership opportunities. If you are a motivated individual with a solution-oriented mindset and the ability to create market-leading solutions, we encourage you to apply for this exciting position at Accenture.,

As a Management Consulting Manager in the Data & AI Strategy team at Accenture, you will play a crucial role in understanding and analyzing clients" business challenges, guiding them through AI-driven transformations, shaping data strategies, and implementing machine learning solutions. Your responsibilities will include developing AI strategies aligned with clients" business objectives, establishing governance frameworks, designing innovative solutions, and creating implementation roadmaps to drive tangible business value. Moreover, you will lead business development initiatives across various markets and client accounts, foster relationships with senior stakeholders, and drive strategic partnerships to promote business growth within Accenture Strategy and Consulting, particularly in the Global Network division. In this role, you will oversee a team of Consultants, Analysts, and Associates, providing strategic direction on projects, supporting their professional development through mentorship, and driving the creation of assets such as whitepapers, thought leadership content, and industry insights to position the organization as a market leader in AI and emerging technologies. Key Responsibilities: - Advise clients on AI strategy, implementation, and optimization to enhance business transformation and gain a competitive edge. - Offer guidance on data strategy, data governance frameworks, and data architecture to address client challenges effectively. - Collaborate with cross-functional teams to integrate AI-driven insights into business processes, improving efficiency and decision-making. - Lead the development of AI-based thought leadership materials, including whitepapers, industry reports, and case studies. - Stay abreast of industry trends in AI/Gen AI, bringing innovative solutions to clients and the practice. - Mentor and guide a team of consultants, analysts, and associates to drive professional growth and project success. Your experience should include a strong background in AI, Gen AI, Data Strategy, and AI/Data Governance, with a preference for consulting expertise. You should demonstrate the ability to drive business development opportunities, lead AI transformation initiatives, possess exceptional analytical and problem-solving skills, and excel in communication and presentation to senior executives. Additionally, having cross-cultural competence, a fast-paced collaborative work ethic, and experience in mentoring teams in management consulting will be beneficial for this role. A relevant qualification such as an MBA from a Tier-1 business school and 8-12 years of experience in AI/Gen AI, data strategy, or management consulting is required, along with knowledge of cloud platforms, responsible AI, and enterprise AI strategies within the High-Tech industry.,

As a Senior Data Engineer + AI, you will play a crucial role in designing and optimizing distributed data pipelines using PySpark, Apache Spark, and Databricks to cater to both analytics and AI workloads. Your expertise in PySpark, Apache Spark, and Databricks for batch and streaming data pipelines will be instrumental in contributing to high-impact programs with clients. Your strong SQL skills for data analysis, transformation, and modeling will enable you to drive data-driven decision-making and facilitate rapid insight generation. Your responsibilities will involve supporting RAG pipelines, embedding generation, and data pre-processing for LLM applications, as well as creating and maintaining interactive dashboards and BI reports using tools such as Power BI, Tableau, or Looker. You will collaborate with cross-functional teams, including AI scientists, analysts, and business teams, to ensure the successful delivery of use cases. In this role, you will need to have a solid understanding of data warehouse design, relational databases such as PostgreSQL, Snowflake, SQL Server, as well as data lakehouse architectures. Your familiarity with cloud services for data and AI, such as Azure, AWS, or GCP, will be essential for ensuring data pipeline monitoring, cost optimization, and scalability in cloud environments. Furthermore, your exposure to Generative AI, RAG, embedding models, and vector databases like FAISS, Pinecone, ChromaDB, as well as experience with Agentic AI frameworks such as LangChain, Haystack, CrewAI, will be beneficial. Your knowledge of MLflow, Delta Live Tables, or other Databricks-native AI tools, CI/CD, Git, Docker, and DevOps pipelines will also be advantageous in this role. If you have a background in consulting, enterprise analytics, or AI/ML product development, it will further enhance your ability to excel in this position. Your excellent problem-solving and collaboration skills, coupled with your ability to bridge engineering and business needs, will be key to your success as a Senior Data Engineer + AI.,

We are searching for a skilled and adaptable Data Engineer with proficiency in PySpark, Apache Spark, and Databricks, combined with knowledge in analytics, data modeling, and Generative AI/Agentic AI solutions. This position suits individuals who excel at the convergence of data engineering, AI systems, and business insights, contributing to impactful programs with clients. Your responsibilities will include designing, constructing, and enhancing distributed data pipelines utilizing PySpark, Apache Spark, and Databricks to cater to both analytics and AI workloads. You will also be tasked with supporting RAG pipelines, embedding generation, and data pre-processing for LLM applications. Additionally, creating and maintaining interactive dashboards and BI reports using tools like Power BI, Tableau, or Looker for business stakeholders and consultants will be part of your role. Furthermore, your duties will involve conducting adhoc data analysis to facilitate data-driven decision-making and rapid insight generation. You will be expected to develop and sustain robust data warehouse schemas, star/snowflake models, and provide support for data lake architecture. Integration with and support for LLM agent frameworks like LangChain, LlamaIndex, Haystack, or CrewAI for intelligent workflow automation will also fall under your purview. In addition, ensuring data pipeline monitoring, cost optimization, and scalability in cloud environments (Azure/AWS/GCP) will be important aspects of your work. Collaboration with cross-functional teams, including AI scientists, analysts, and business teams to drive use-case delivery, is key. Lastly, maintaining robust data governance, lineage, and metadata management practices using tools such as Azure Purview or DataHub will also be part of your responsibilities.,

As a NLP & Generative AI Engineer at Gigaforce, you will be part of our dynamic AI/ML team based in Noida, working on cutting-edge technologies to revolutionize the insurance claims processing industry. We are a California-based InsurTech company with a strong focus on innovation and digital transformation in the Property and Casualty sector. You must have a minimum of 2 years of hands-on experience in traditional machine learning, natural language processing, and modern generative AI techniques to be considered for this role. We are looking for individuals who are passionate about deploying GenAI solutions to production, working with open-source technologies, and handling document-centric pipelines efficiently. Your main responsibilities will include building and deploying NLP and GenAI-driven products focusing on document understanding, summarization, classification, and retrieval. You will be designing and implementing models using LLMs such as GPT, T5, and BERT, along with working on scalable, cloud-based pipelines for training, serving, and monitoring models. Collaboration is key at Gigaforce, and you will work closely with cross-functional teams including data scientists, ML engineers, product managers, and developers. Additionally, you will contribute to open-source tools and frameworks in the ML ecosystem, deploying production-ready solutions using MLOps practices, and working on distributed/cloud systems with GPU-accelerated workflows. To be successful in this role, you should have a strong grasp of traditional ML algorithms, NLP fundamentals, and modern NLP & GenAI models. Proficiency in Python, experience with cloud platforms like AWS SageMaker, GCP, or Azure ML, and familiarity with MLOps tools and distributed computing are essential. Experience with document processing pipelines and understanding insurance-related documents is a plus. If you are looking for a challenging role where you can lead the design, development, and deployment of innovative AI/ML solutions in the insurance industry, then this position at Gigaforce is the perfect opportunity for you. Join us in our mission to transform the claims lifecycle into an intelligent, end-to-end digital experience.,

The Implementation Technical Architect role focuses on designing, developing, and deploying cutting-edge Generative AI (GenAI) solutions using the latest Large Language Models (LLMs) and frameworks. Your responsibilities include creating scalable and modular architecture for GenAI applications, leading Python development for GenAI applications, building tools for automated data curation, integrating solutions with cloud platforms like Azure, GCP, and AWS, applying advanced fine-tuning techniques to optimize LLM performance, establishing LLMOps pipelines, ensuring ethical AI practices, implementing Reinforcement Learning with Human Feedback and Retrieval-Augmented Generation techniques, collaborating with front-end developers, and more. Key Responsibilities: - Design and Architecture: Create scalable and modular architecture for GenAI applications using frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. - Python Development: Lead the development of Python-based GenAI applications, ensuring high-quality, maintainable, and efficient code. - Data Curation Automation: Build tools and pipelines for automated data curation, preprocessing, and augmentation to support LLM training and fine-tuning. - Cloud Integration: Design and implement solutions leveraging Azure, GCP, and AWS LLM ecosystems, ensuring seamless integration with existing cloud infrastructure. - Fine-Tuning Expertise: Apply advanced fine-tuning techniques such as PEFT, QLoRA, and LoRA to optimize LLM performance for specific use cases. - LLMOps Implementation: Establish and manage LLMOps pipelines for continuous integration, deployment, and monitoring of LLM-based applications. - Responsible AI: Ensure ethical AI practices by implementing Responsible AI principles, including fairness, transparency, and accountability. - RLHF and RAG: Implement Reinforcement Learning with Human Feedback (RLHF) and Retrieval-Augmented Generation (RAG) techniques to enhance model performance. - Modular RAG Design: Develop and optimize Modular RAG architectures for complex GenAI applications. - Open Source Collaboration: Leverage Hugging Face and other open-source platforms for model development, fine-tuning, and deployment. - Front-End Integration: Collaborate with front-end developers to integrate GenAI capabilities into user-friendly interfaces. Required Skills: - Python Programming: Deep expertise in Python for building GenAI applications and automation tools. - LLM Frameworks: Proficiency in frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. - Large-Scale Data Handling & Architecture: Design and implement architectures for handling large-scale structured and unstructured data. - Multi-Modal LLM Applications: Familiarity with text chat completion, vision, and speech models. - Fine-tune SLM(Small Language Model) for domain specific data and use cases. - Prompt injection fallback and RCE tools such as Pyrit and HAX toolkit etc. - Anti-hallucination and anti-gibberish tools such as Bleu etc. - Cloud Platforms: Extensive experience with Azure, GCP, and AWS LLM ecosystems and APIs. - Fine-Tuning Techniques: Mastery of PEFT, QLoRA, LoRA, and other fine-tuning methods. - LLMOps: Strong knowledge of LLMOps practices for model deployment, monitoring, and management. - Responsible AI: Expertise in implementing ethical AI practices and ensuring compliance with regulations. - RLHF and RAG: Advanced skills in Reinforcement Learning with Human Feedback and Retrieval-Augmented Generation. - Modular RAG: Deep understanding of Modular RAG architectures and their implementation. - Hugging Face: Proficiency in using Hugging Face and similar open-source platforms for model development. - Front-End Integration: Knowledge of front-end technologies to enable seamless integration of GenAI capabilities. - SDLC and DevSecOps: Strong understanding of secure software development lifecycle and DevSecOps practices for LLMs.,

You will play a key role as a GenAI Solutions & Engineering Subject Matter Expert within our GenAI Incubation Team. Your responsibilities will revolve around collaborating with clients, business stakeholders, and product teams to identify valuable use cases, design scalable Generative AI solutions, and guide them from conceptualization to Minimum Viable Product (MVP) to deployment. To excel in this role, you should possess a total of 10 years of experience in AI/ML, with at least 2 years dedicated to Generative AI solutioning. Your expertise should include the ability to create and implement GenAI applications, copilots, or agent-based systems effectively. Additionally, you should be well-versed in the LLM stack, encompassing prompting, model selection, evaluation, fine-tuning, and deployment processes. Proficiency in Python and familiarity with libraries/frameworks such as LangChain, LlamaIndex, and FastAPI are essential for this position. You should also demonstrate a strong understanding of various GenAI patterns like prompt engineering, RAG, summarization, code generation, and AI Agents among others. Hands-on experience with cloud platforms like Azure OpenAI, AWS Bedrock, GCP Vertex AI, and NVIDIA is a must. A deep comprehension of vector databases, LLM orchestration, memory management, and API integration will further solidify your qualifications. Your role will involve building AI Agents and Agentic AI solutions using industry-leading frameworks and protocols like MCP and A2A. Moreover, a good grasp of Responsible AI principles, explainability, data security, and model auditability will be valuable. Excellent communication skills and the ability to engage effectively with stakeholders are crucial attributes for success in this role. You should be comfortable operating within an agile, fast-paced, and innovative environment where ambiguity is common.,

Key Responsibilities: A day in the life of an Infoscion As part of the Infosys delivery team your primary role would be to interface with the client for quality assurance issue resolution and ensuring high customer satisfaction You will understand requirements create and review designs validate the architecture and ensure high levels of service offerings to clients in the technology domain You will participate in project estimation provide inputs for solution delivery conduct technical risk planning perform code reviews and unit test plan reviews You will lead and guide your teams towards developing optimized high quality code deliverables continual knowledge management and adherence to the organizational guidelines and processes You would be a key contributor to building efficient programs systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey this is the place for you If you think you fit right in to help our clients navigate their next in their digital transformation journey this is the place for you Technical Requirements: Primary skills Technology DevOps DevOps Architecture Consultancy Technology Finacle Core Payments Positive Pay Services Advance Technology Infrastructure Mainframes Security Technology OpenSystem Python OpenSystem Additional Responsibilities: Knowledge of more than one technology Basics of Architecture and Design fundamentals Knowledge of Testing tools Knowledge of agile methodologies Understanding of Project life cycle activities on development and maintenance projects Understanding of one or more Estimation methodologies Knowledge of Quality processes Basics of business domain to understand the business requirements Analytical abilities Strong Technical Skills Good communication skills Good understanding of the technology and domain Ability to demonstrate a sound understanding of software quality assurance principles SOLID design principles and modelling methods Awareness of latest technologies and trends Excellent problem solving analytical and debugging skills Preferred Skills: Technology->Cloud Security->AWS - Infrastructure Security->AWS WAF,Technology->DevOps->DevOps Architecture Consultancy,Technology->OpenSystem->Python - OpenSystem->Python,Technology->Machine Learning->Responsible AI->ethical ai,Domain->Healthcare->Payer->FACETS,Technology->Healthcare->EDI