AI Product Manager

AI Product Manager at Hitachi Energy

We are seeking an experienced AI Product Manager to design and implement Proof of Concepts (PoCs) for Multi-Agent Systems (MAS) that will drive innovation in enterprise AI applications. This role involves building intelligent agents, integrating them into distributed environments, and collaborating with cross-functional teams to deliver scalable AI solutions.

Key Responsibilities:

• Lead discovery: conduct stakeholder interviews and current‑state mapping (SIPOC/Swimlane/BPMN), with bottleneck/root‑cause analysis to surface high‑value MAS opportunities.
• Translate insights into product artifacts: craft clear problem statements, PRDs, user stories, acceptance criteria, and success metrics (OKRs/KPIs).
• Own lifecycle delivery: maintain and prioritize the backlog across PoC → MVP → Production.
• Define MAS system design: specify multi‑agent architectures and orchestration patterns (task decomposition, routing, tool/API use, memory/knowledge access, guardrails) aligned with platform standards.
• Leverage platform/CoE: partner to use approved models, frameworks, and components; publish reusable process maps, playbooks, and templates (PRDs, test plans, adoption guides).
• Drive agile execution: run ceremonies, manage timelines, coordinate cross‑functional contributors (data, ML, application, security), and remove delivery blockers.
• Lead readiness & adoption: own UAT strategy, change management, enablement, and rollout plans to achieve measurable outcomes.
• Ensure trusted data: coordinate with data owners for secure access, data quality, lineage, and integration to systems of record (CRM/ERP/MDM).
• Embed responsible AI: enforce safety, privacy, fairness, and auditability in alignment with governance and compliance.
• Measure & communicate impact: track cycle‑time, accuracy, data‑quality, adoption, and cost‑to‑serve; iterate continuously; serve as single‑threaded owner reporting status, risks, and decisions to sponsors and technical leadership.

Your Background:

Education & Experience: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Experience in Multi-Agent Systems (MAS) initiatives. Experience creating and implementing data and artificial intelligence products.

Technical Experience: Ability to effectively use AI tools in design processes.

Soft Skills: Excellent communication and influencing skills across technical and executive audiences. Good communication and teamwork skills, with the ability to explain technical ideas to diverse audiences. Experience working in collaborative, cross-functional environments. Proficiency in both spoken and written English is required.

More About Us:

Hitachi Energy prides itself on offering a holistic range of competitive benefits to support your financial, physical and mental wellbeing and personal development. We want you to truly thrive with us, in work and out.

We are committed to full transparency and compliance with all legal requirements, ensuring that every candidate knows exactly what to expect at each stage of the recruitment process. Once the process is successfully completed, we will share detailed information about financial conditions and benefits with the selected candidate. Before signing the employment contract, you will receive all remaining details of the offer, giving you the time and space to review everything carefully.*

Hitachi Energy is a global technology leader in electrification, powering a sustainable energy future through innovative power grid technologies with digital at the core. Over three billion people depend on our technologies to power their daily lives. Headquartered in Switzerland, we employ over 50,000 people in 60 countries and generate revenues of around $16 billion USD. We welcome you to apply today.

Key skills/competency:

• Multi-Agent Systems (MAS)
• Product Management
• Artificial Intelligence (AI)
• Agile Methodologies
• Stakeholder Engagement
• Product Lifecycle Management
• Data Governance
• Responsible AI
• Proof of Concept (PoC)
• Cross-functional Collaboration