GEN AI Lead

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired bya collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

In this role, you will lead the design, delivery, and adoption of enterprise grade GenAI data platforms, with a strong emphasis on market data. You will own and ship agentic GenAI data workflows, including retrieval augmented generation (RAG), tool calling, and orchestration, while embedding governance, controls, and quality from day one. You will design and scale AI agent capabilities across Azure and AWS, leveraging Microsoft 365 Copilot and Copilot Studio, and integrating leading OpenAI and Anthropic large language models (LLMs) with privacy, security, and regulatory controls built in.

The role has deep responsibility for market data platforms.

• Lead the design and delivery of GenAI data architectures, including agentic workflows, RAG pipelines, prompt orchestration, and tool calling frameworks.
• Own the strategy and integration of market data platforms, ensuring high quality ingestion, normalization, enrichment, and access for analytics and GenAI use cases.
• Design and oversee scalable GenAI and machine learning data pipelines, supporting structured and unstructured data across the full AI lifecycle.
• Establish and embed data quality, lineage, privacy, and compliance controls to ensure responsible AI use and regulatory alignment.
• Partner with business, product, engineering, and data science teams to identify high impact GenAI use cases and translate them into production grade solutions.
• Define best practices for model lifecycle management, evaluation metrics, MCP integration, and continuous improvement of GenAI systems.
• Act as a trusted senior advisor to Markets and Investment Banking stakeholders.
• Build, lead, and mentor high performing teams of data engineers and GenAI practitioners.

• Experience designing and overseeing GenAI and ML data pipelines, integrating structured and unstructured data for model deployment and evaluation.
• Strong expertise in enterprise GenAI and LLM platforms, including prompt engineering pipelines, vector databases, and retrieval augmented generation (RAG).
• Proven ability to establish data governance, privacy, and compliance frameworks in regulated financial services environments.
• Experience partnering with business and engineering teams to deliver production grade GenAI solutions.
• Strong leadership skills, with experience setting standards and best practices across data, analytics, and AI teams.

The base compensation range for this role in the posted location is: 103,330 to 128,656

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to:
Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

• Paid time off based on employee grade (A-F), defined by policy:
  Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and…