Senior Product Owner - Agentic AI - NL at Capgemini

drenthe, Drenthe, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

11 Jan, 27

Salary

35000.0

Posted On

13 Oct, 26

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Industry

Information Technology & Services

Description

Own the product vision, roadmap, and backlog for Agentic AI and Generative AI solutions.
Translate business requirements into product features, user stories, acceptance criteria, and delivery priorities.
Lead products from initial discovery and MVP definition through development, deployment, and continuous improvement.
Work closely with clients, business stakeholders, architects, AI engineers, software developers, and data teams to deliver business value.
Apply knowledge of Large Language Models, RAG architectures, AI agents, orchestration frameworks, evaluation methods, guardrails, and human-in-the-loop patterns when defining product capabilities.
Define and monitor product success metrics covering business value, adoption, quality, reliability, cost, and AI performance.
Ensure products adhere to Responsible AI principles, governance standards, security requirements, privacy regulations, and compliance policies.
Facilitate stakeholder workshops and help clients identify opportunities to leverage AI for business transformation.
Support business development activities, solution shaping, and proposition development within the AI practice.
Stay current with advancements in Generative AI, Agentic AI, and cloud technologies, applying relevant innovations to product strategy and delivery.

Responsibilities

Own the product vision, roadmap, and backlog for Agentic AI and Generative AI solutions.
Translate business requirements into product features, user stories, acceptance criteria, and delivery priorities.
Lead products from initial discovery and MVP definition through development, deployment, and continuous improvement.
Work closely with clients, business stakeholders, architects, AI engineers, software developers, and data teams to deliver business value.
Apply knowledge of Large Language Models, RAG architectures, AI agents, orchestration frameworks, evaluation methods, guardrails, and human-in-the-loop patterns when defining product capabilities.
Define and monitor product success metrics covering business value, adoption, quality, reliability, cost, and AI performance.
Ensure products adhere to Responsible AI principles, governance standards, security requirements, privacy regulations, and compliance policies.
Facilitate stakeholder workshops and help clients identify opportunities to leverage AI for business transformation.
Support business development activities, solution shaping, and proposition development within the AI practice.
Stay current with advancements in Generative AI, Agentic AI, and cloud technologies, applying relevant innovations to product strategy and delivery.