Senior Product Owner Generative AI & Agents

Project overview

We are looking for a Senior Product Owner for a long-term assignment with our client in the banking/finance sector in the Paris region, to manage the lifecycle of an AI platform and a center of excellence dedicated to autonomous agents. You will join a project at the heart of generative AI: multi-agent systems capable of navigating complex financial workflows. You will define the "what" and the "why" in an environment where the "how" evolves weekly.

Your missions:

You will be hired on a permanent executive contract (CDI cadre) at Ingéniance, within a community of experts.

Ref: O-FJTVN

Profile sought

You have at least 10 years of experience in Product Ownership, Product Management, or technical project management, on large-scale software solutions, ideally in banking, FinTech, or a regulated sector. You are proficient in Agile, Scrum, and SAFe, roadmap strategy, and KPI/ROI-driven management. You don't need to code, but you have a good understanding of the AI lifecycle, LLMs, and agent workflows (MLOps), as well as the challenges of distributed systems. Good knowledge of AI compliance (GDPR, AI Act) is an asset. You can present a vision to executives and formulate precise requirements for developers.

Decisive, resilient, and comfortable with ambiguity, you know how to create a climate of trust conducive to experimentation.

Work environment

INGENIANCE is an IT consulting company specializing in capital markets, banking, and insurance for over 18 years. We support major French banking and insurance players on their most critical projects, with recognized expertise in Craft Development, Big Data, Cloud/DevOps, and Agility. Joining Ingéniance means joining a community of experts, being supported by close management, and building your career on high-value-added missions. Build your success!

• Translate the center of excellence vision into a clear product roadmap, balancing platform scalability and high-value use cases.
• Manage adaptive planning in a context of rapid innovation and technological uncertainty.
• Act as the link between data scientists, AI engineers, and business users in investment banking.
• Prioritize the backlog: technical debt, infrastructure (Kubernetes, Kafka), and agent functionalities (LangGraph, CrewAI, ADK).
• Define acceptance criteria for non-deterministic systems: accuracy, safety, reasoning quality.
• Integrate compliance from the design phase (guardrails-by-design) with legal, risk, and compliance teams: GDPR, AI Act.
• Track KPIs: model performance, agent task completion rate, cost per inference, impact on process automation.

Project details

• Start: ASAP
• Duration: 1 mois
• Location: Paris, France, FR
• Languages: French