Design and implement Proof of Concepts (PoCs) for Multi-Agent Systems (MAS)
Build intelligent agents and integrate them into distributed environments
Collaborate with cross-functional teams to deliver scalable AI solutions
Conduct stakeholder interviews and current-state mapping (SIPOC/Swimlane/BPMN)
Maintain and prioritize the backlog across PoC → MVP → Production
Define MAS system design with specified multi-agent architectures and orchestration patterns
Partner to use approved models, frameworks, and components
Run agile execution and manage timelines across contributors
Own UAT strategy, change management, enablement, and rollout plans
Coordinate with data owners for secure access, data quality, lineage, and integration
Enforce safety, privacy, fairness, and auditability in alignment with governance and compliance
Track cycle-time, accuracy, data-quality, and cost-to-serve, and report status to sponsors and technical leadership

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
Experience in Multi-Agent Systems (MAS) initiatives
Ability to effectively use AI tools in design processes
Experience of creating and implementing data and artificial intelligence products
Excellent communication and influencing skills across technical and executive audiences
Proficiency in both spoken and written English is required.

AI Product Manager

Key skills