Principal Agentic AI Product Manager

Job Summary

We are seeking a highly experienced Gen AI Delivery Leader responsible for driving the successful delivery and industrialization of Generative AI solutions across business lines. This includes leading cross-functional teams, collaborating with stakeholders, and ensuring the scalable deployment of Gen AI assets and services. The role demands a blend of strategic vision, technical depth, and delivery excellence. You will leading and delivering cutting-edge AI solutions that drive business value and operational excellence.

Key Responsibilities

• •Define and execute the roadmap for Gen AI delivery across multiple business units, ensuring alignment with organizational goals
• •Lead the end-to-end delivery of Gen AI initiatives, from ideation and PoC to deployment and scaling.
• •Act as the central point of coordination among business lines, technology teams, and clients to ensure consistent delivery outcomes.
• •Drive the reuse and scaling of Gen AI assets, frameworks, and accelerators to improve productivity and client satisfaction.
• •Foster a culture of innovation by integrating the latest Gen AI advancements into delivery practices.
• •Drive the integration of AI solutions across multiple platforms, ensuring seamless deployment and operation.
• •Stay abreast of the latest trends and advancements in ML and Gen AI, and advocate for their application within the organization.
• •Ensure and enforce all AI solutions adhere to data privacy, security, and ethical standards.
• •Identify opportunities for innovation within the AI domain, focusing on the development of reusable assets and tools.

Qualifications and Skills

• •Master’s degree in Computer Science, Engineering, Data Science, or a related field. Ph.D. is a plus.
• •18+ years of experience in enterprise architecture, with a strong focus on ML and Gen AI technologies.
• •Proven experience in delivering AI-powered solutions at scale, preferably in client-facing environments.
• •Deep understanding of Gen AI frameworks including frameworks like Lang chain and other LLM based services including OpenAI, cloud platforms (AWS, Azure, GCP), and MLOps practices.
• •Strong understanding of CI/CD, containerization (Docker, Kubernetes), and microservices architecture. Familiarity with Agile and DevOps methodologies.
• •Excellent communication, stakeholder engagement, and team leadership skill.
• •Exposure to industry-specific Gen AI use cases (e.g., SAP, Salesforce, Finance, Supply Chain etc.,
• •Minimum 8 years of extensive experience in delivering end to end product/assets by leveraging multiple technology components including AI/ML and Generative AI.
• •Strong problem-solving, strategic thinking and analytical skills, with the ability to synthesize complex information and make data-driven decisions.

Your security clearance

• To be successfully appointed to this role you will need to undergo Baseline Personnel Security Standard
• checks.
• There are no nationality or residency restrictions, although if you have resided outside of the UK within the last
• 3 years, further checks may be required.
• There are other criteria and check required for BPSS, and throughout the recruitment process, you will be
• asked questions about your security clearance eligibility such as, but not limited to, country of residence and
• nationality

We are a Disability Confident Employer

• Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability
• Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all
• candidates who:

• •Declare they have a disability, and
• •Meet the minimum essential criteria for the role.

Please opt in during the application process.

Make it real – what does it mean for you?

• You’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally
• important to us as an organisation. We see a healthy and happy workforce a critical component for us to
• achieve our organisational ambitions.
• To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and
• we have invested in wellbeing apps such as Thrive and Peppy.
• You will be joining one of the World’s Most Ethical Companies®, as recognised by Ethisphere® for 12
• consecutive years. We live our values by making ethical business choices every day. Working ethically is at the
• centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.
• Capgemini. Make it real

Why you should consider Capgemini

• Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you
• join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs
• and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together,
• we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the
• experiences and connections you need to shape your future. By learning from each other every day, sharing
• knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to
• help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but
• making the world a better place rarely is.

About Capgemini

• Capgemini is an AI-powered global business and technology transformation partner, delivering tangible
• business value. We imagine the future of organisations 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