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Lead Data Scientist

ExperiencedNo visa sponsorship
Capgemini logo

at Capgemini

Consultancies

Posted 15 days ago

No clicks

**Lead Data Scientist** at Capgemini: Engineering AI Solutions, Leading Teams. Lead our Agentic AI team, architecting and delivering enterprise AI & GenAI solutions. Manage team, drive PoC to production, collaborate cross-functionally. Requires 10+ years in AI/ML, Python, strong AI frameworks (LangGraph, Semantic Kernel), API, cloud, leadership experience. Nice to have: data engineering background. Empower your career, reimagine tech with Capgemini.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Full Job Description

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

Job Description

Lead Agentic AI Engineer | 10+ Years Experience

We are looking for a Lead Agentic AI Engineer to lead the technical design and delivery of enterprise Agentic AI and Generative AI solutions, while providing technical leadership and mentoring to the engineering team.

Key Responsibilities

  • Lead the architecture, design, and delivery of Agentic AI and GenAI solutions.
  • Provide technical direction, mentorship, and engineering guidance to the team.
  • Remain hands-on in complex solution design, development, and problem solving.
  • Drive solutions from PoC through production deployment, ensuring scalability, quality, and engineering best practices.
  • Collaborate with Data Engineering, Cloud, Architecture, and business teams to deliver integrated enterprise solutions.

Required Experience

  • 10+ years of experience across Software Engineering, AI/ML, Data Engineering, or related technology domains.
  • Strong Python and software engineering expertise.
  • Hands-on experience with GenAI, LLMs, Agentic AI, RAG, multi-agent systems, agent orchestration, and tool/function calling.
  • Experience with LangGraph/LangChain, Semantic Kernel, AutoGen, or equivalent frameworks.
  • Experience with APIs, cloud technologies, and production deployment.
  • Demonstrated experience in technical leadership, team mentoring, and solution architecture.

Nice to Have

A Data Engineering background or strong foundation is a significant advantage, particularly experience with data pipelines, SQL, data platforms, enterprise data integration, and cloud data technologies.

We are looking for a hands-on technical leader who can set the technical direction, develop the team, and drive the delivery of scalable, production-ready AI solutions.

I think this version is better suited to your company portal because it gives HR enough structure for screening, while still being concise enough that strong candidates will actually read it.

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.
Make it real | www.capgemini.com

Lead Data Scientist

Compensation

Not specified

City: Not specified

Country: Not specified

Capgemini logo
Consultancies

15 days ago

No clicks

at Capgemini

ExperiencedNo visa sponsorship

**Lead Data Scientist** at Capgemini: Engineering AI Solutions, Leading Teams. Lead our Agentic AI team, architecting and delivering enterprise AI & GenAI solutions. Manage team, drive PoC to production, collaborate cross-functionally. Requires 10+ years in AI/ML, Python, strong AI frameworks (LangGraph, Semantic Kernel), API, cloud, leadership experience. Nice to have: data engineering background. Empower your career, reimagine tech with Capgemini.

Full Job Description

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

Job Description

Lead Agentic AI Engineer | 10+ Years Experience

We are looking for a Lead Agentic AI Engineer to lead the technical design and delivery of enterprise Agentic AI and Generative AI solutions, while providing technical leadership and mentoring to the engineering team.

Key Responsibilities

  • Lead the architecture, design, and delivery of Agentic AI and GenAI solutions.
  • Provide technical direction, mentorship, and engineering guidance to the team.
  • Remain hands-on in complex solution design, development, and problem solving.
  • Drive solutions from PoC through production deployment, ensuring scalability, quality, and engineering best practices.
  • Collaborate with Data Engineering, Cloud, Architecture, and business teams to deliver integrated enterprise solutions.

Required Experience

  • 10+ years of experience across Software Engineering, AI/ML, Data Engineering, or related technology domains.
  • Strong Python and software engineering expertise.
  • Hands-on experience with GenAI, LLMs, Agentic AI, RAG, multi-agent systems, agent orchestration, and tool/function calling.
  • Experience with LangGraph/LangChain, Semantic Kernel, AutoGen, or equivalent frameworks.
  • Experience with APIs, cloud technologies, and production deployment.
  • Demonstrated experience in technical leadership, team mentoring, and solution architecture.

Nice to Have

A Data Engineering background or strong foundation is a significant advantage, particularly experience with data pipelines, SQL, data platforms, enterprise data integration, and cloud data technologies.

We are looking for a hands-on technical leader who can set the technical direction, develop the team, and drive the delivery of scalable, production-ready AI solutions.

I think this version is better suited to your company portal because it gives HR enough structure for screening, while still being concise enough that strong candidates will actually read it.

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.
Make it real | www.capgemini.com