Technical Product Manager - Agentic AI Framework

Cummins•Columbus, IN

6h•Onsite

About The Position

Drives the strategy, development, and adoption of the IT Agentic AI Framework, a foundational platform that enables teams across the IT organization to design, build, and deploy intelligent software agents at scale. The role bridges the evolving agentic AI landscape and enterprise IT goals, translating multi-agent architectures into governed, reusable capabilities that accelerate solution delivery. The Product Manager owns the framework roadmap and enterprise orchestration strategy, including orchestration capabilities, agent-library governance, developer enablement, and selection and evolution of the core orchestration engine. The role advises engineering teams, solution architects, and business stakeholders on agent design patterns, MCP-based tool integration, orchestration practices, and context management. It also partners with architecture, security, compliance, and the AI Center of Excellence to define requirements and milestones and embed trust, risk, security, privacy, and governance controls into the framework. The position leads enablement for teams adopting the framework and monitors emerging standards, open-source frameworks, and vendor capabilities to inform roadmap recommendations. It also applies product-management and Lean-Agile practices, including backlog prioritization, PI planning, stakeholder alignment, and coordination with architecture and Agile teams to deliver business outcomes.

Requirements

Degree in Computer Science, Information Systems, Engineering, or a related field; the posting also accepts a college, university, or equivalent degree in Computer Science, Information Technology, Business, or a related subject, or relevant equivalent experience.
4–6 years of experience in product management, platform engineering, or technical program management.
At least 2 years of experience in AI, ML, or enterprise software platforms.
Hands-on knowledge of agentic AI concepts, including LLM tool-calling, multi-agent orchestration, MCP, RAG, and agent memory patterns.
Strong communication skills, including the ability to explain complex agentic architecture to engineering teams and executive audiences.
Deep working knowledge of multi-agent coordination patterns such as supervisor/worker, peer-to-peer, fan-out/aggregation, ReAct, and plan-and-execute, and the ability to select suitable patterns for enterprise use cases.
Hands-on familiarity with orchestration frameworks such as LangGraph, CrewAI, AutoGen, Temporal, or equivalent; durable execution models, state management, and workflow failure recovery patterns.
Deep understanding of orchestration frameworks, MCP protocol, RAG architectures, LLM gateway patterns, agent memory management, and multi-agent coordination.
Ability to embed trust, risk, security, and privacy controls by design, including guardrails, audit logging, agent cards, and anomaly detection.
Ability to partner across AI engineering, enterprise architecture, security, data governance, and business solution teams.
Ability to balance stakeholders, apply business and marketplace insight, maintain customer focus and a global perspective, manage conflict, and value differences.
Knowledge of Lean methodology, principles, and tools; the posting describes significant business and technical knowledge with practical Lean experience as preferred.
Experience working in an Agile environment and significant Product Owner experience are preferred.

Nice To Haves

SAFe Product Owner/Agile Product Manager (POPM) certification.
SAFe Agile Product and Solution Management certification.
Significant business and technical knowledge with practical experience of Lean methodology, principles, and tools.
Experience working in an Agile environment.
Significant experience as a Product Owner.

Responsibilities

Own the product roadmap for the Agentic AI Framework, prioritizing orchestration capabilities, agent-library governance, and developer enablement.
Advise engineering teams, solution architects, and business stakeholders on agent design patterns, MCP-based tool integration, orchestration practices, and context management strategies.
Define and own the enterprise orchestration strategy, establishing standard patterns for sequential, parallel, hierarchical, and event-driven multi-agent workflows.
Govern selection, configuration, and evolution of the core orchestration engine against enterprise scalability, reliability, and governance requirements.
Define and govern the enterprise agent library, including intake, versioning, approval workflows, and lifecycle management for reusable agents, tools, and MCP server endpoints.
Partner with AI architects, security, and compliance teams to embed TRiSM standards, explainability, behavioral guardrails, prompt-injection defense, and AI risk governance into the framework.
Lead enablement for internal agent teams, solution advisors, and domain developers adopting the framework.
Track agentic AI standards, open-source frameworks, and vendor capabilities and translate findings into roadmap recommendations.
Define framework requirements, milestones, and acceptance criteria in alignment with the AI Center of Excellence.
Understand customer needs, personas, and user problems and translate insights and market trends into problem statements that guide product strategy and solution design.
Collaborate with Epic Owners on Lean business cases and align product decisions with portfolio and program strategy, strategic themes, budgets, and guardrails.
Own and manage the Program Backlog and Kanban flow; refine, prioritize, and sequence work, including using WSJF.
Lead Program Increment planning by presenting product vision, approving PI objectives, assigning business value, and determining release timing based on delivered value.
Partner with System and Solution Architecture to understand enablers, influence sequencing decisions, and balance technical and business priorities.
Build and lead a Product Management/Product Owner team and foster trusted organizational relationships to deliver business outcomes.
Plan, schedule, and lead team ceremonies that support collaboration, transparency, inspection, and continuous improvement.
Balance stakeholder needs, communicate effectively to varied audiences, manage conflict, and apply a global perspective while valuing different perspectives and cultures.