Consultant - ai Platform H/F

We are currently spearheading the establishment of the Agentic Project Center of Excellence (CoE). Our mission is to move beyond static automation and build a sophisticated ecosystem of autonomous, reasoning agents capable of navigating complex financial workflows. As part of this team, you will not just be building traditional APIs; you will be architecting the "intelligence backbone"-the high-performance, scalable, and resilient infrastructure that allows Large Language Models (LLMs) and multi-agent systems to interact with the bank's enterprise data and tools.

Missions

• Translate the high-level vision of the Agentic CoE into a coherent, actionable product roadmap that balances long-term platform scalability with immediate high-value AI use cases.
• Adapt the roadmap to meet the needs of other projects within the CoE by understanding their perspectives.
• Lead project planning in a "high-velocity" environment using adaptive planning techniques to manage the inherent uncertainty of AI development.
• Act as the primary interface between Data Scientists (researchers), Backend/AI Engineers (builders), and Business Stakeholders (users), translating complex technical capabilities into clear business value.
• Prioritize complex technical debt, platform infrastructure (Kubernetes, Kafka), and cutting-edge agentic features (LangGraph/CrewAI, ADK integrations) to maximize ROI and speed-to-market.
• Define sophisticated acceptance criteria for non-deterministic systems in collaboration with QE and Data Science teams, focusing on accuracy, safety, and agentic reasoning quality.
• Partner with Legal, Risk, and Compliance teams to ensure every agentic workflow is designed with "guardrails-by-design," meeting strict banking regulations (GDPR, AI Act, etc.).
• Define and monitor sophisticated KPIs beyond uptime, including model performance, agentic task completion rates, cost-per-inference, and actual business process automation impact.

Tools & Environment

• Agile/Scrum/SAFe methodologies
• Kubernetes, Kafka
• LangGraph, CrewAI, ADK integrations
• Large Language Models (LLMs) and multi-agent systems
• AI lifecycle management and MLOps
• Enterprise software and large-scale distributed systems

Working Conditions

• Senior Product Owner role with over 10 years of experience
• Focus on AI Platform and Agentic CoE initiatives within a global Tier-1 investment bank environment
• Strategic role bridging AI research and banking operations
• High-velocity, rapidly evolving technological landscape requiring adaptive planning and leadership