AI Product Owner

Product Strategy & Vision
• Define and own the product vision, strategy, and roadmap for agentic AI solutions aligned with business objectives
• Identify high-value use cases where autonomous agents can drive efficiency, automation, or new capabilities
• Evaluate build-vs-buy decisions across agentic AI frameworks (LangChain, LangGraph, AutoGen, CrewAI) and LLM providers
• Stay current on the evolving agentic AI landscape and translate emerging capabilities into product opportunities

Backlog & Requirements Management
• Own and prioritize the product backlog, translating business requirements into clear user stories and acceptance criteria for engineering teams
• Define agent behaviors, decision boundaries, and success criteria (task completion rates, accuracy, latency, cost per task)
• Specify requirements for agent memory, tool access, multi-agent orchestration, and human-in-the-loop checkpoints
• Balance autonomy vs. control — determining where agents should act independently vs. escalate to humans

Cross-Functional Collaboration
• Act as the primary liaison between business stakeholders, AI/ML engineering teams, UX designers, and data governance/compliance teams
• Partner with engineering to scope technical feasibility, effort estimation, and architecture trade-offs for agentic workflows
• Work with data science/ML teams to define evaluation frameworks for hallucination rates, task success, and agent reliability
• Collaborate with design teams on human-agent interaction patterns and interfaces (chat, dashboards, approval workflows)

Governance, Risk & Compliance
• Define guardrails, escalation paths, and fallback mechanisms for agent failures or edge cases
• Ensure agentic systems meet responsible AI standards: transparency, auditability, bias mitigation, and data privacy
• Partner with legal/compliance teams on risk assessment for autonomous decision-making systems
• Establish monitoring and audit trails for agent actions, especially in regulated domains

Launch & Performance Management
• Drive go-to-market planning, pilot programs, and phased rollouts of agentic AI features
• Define and track KPIs/OKRs: task automation rate, agent accuracy, cost savings, user adoption, time-to-resolution
• Analyze production agent performance data to identify improvement opportunities and prioritize iterations
• Manage stakeholder communication, demos, and executive reporting on agentic AI product progress

Agile Delivery
• Run sprint planning, backlog grooming, and stakeholder demos in an Agile/Scrum environment
• Prioritize technical debt, model updates, and framework migrations alongside feature development
• Manage dependencies across multiple agent workstreams and cross-functional teams

Required Skills:
1. Health Care Products , Consumer care product develop , Dx Product Lifecycle Management
2. Proven experience as a Product Owner/Product Manager, ideally on AI/ML or automation products
3. Trizetto Products.