AI Program Lead (AI Tooling & AI Development Lifecycle)

Job Title: AI Program Lead (AI Tooling & AI Development Lifecycle)

Location: Minneapolis, MN

Duration: 6 Months

Mandatory Skillset: AI Program Management, AI Tooling Strategy, AI Development Lifecycle (AI DLC), Solution Architecture, AI/ML Lifecycle, Executive Stakeholder Management and GenAI / LLM Fundamentals (preferred but highly desirable)

Role Summary

• Act as the single-threaded leader responsible for driving:
  • AI tooling strategy
  • AI Development Lifecycle (AI DLC)
  • Jellyfish and Amplitude teams management
  • Proposal and solution definition
• This role is not just coordination it must actively shape solution architecture, define scope, and drive execution.

Key Responsibilities

• Lead end-to-end solution definition and proposal development
• Define: AI Development Lifecycle (AI DLC) frameworks, Intake processes and artifacts, End-to-end AI delivery lifecycle
• Drive alignment across: AI DLC, Quality Engineering (AIQE), App Ops / Observability
• Own development of: Solution architecture, Delivery roadmap, Execution model
• Coordinate and manage: Jellyfish and Amplitude teams, Engineering and product stakeholders
• Facilitate working sessions with stakeholders to: Refine scope, Finalize vision
• Ensure: Clear articulation of what will be built (key client gap)
• Drive delivery readiness and execution planning

Required Skills

• Strong experience in: Program leadership (AI, Data or Digital programs), Solution architecture and proposal building
• Deep understanding of: AI/ML lifecycle, Engineering workflows
• Proven ability to: Define large-scale transformation programs
• Strong stakeholder engagement at leadership level

Preferred Skills

• Experience in: AI factory frameworks, Agent-based / LLM-based systems
• Exposure to: Observability, analytics, and tooling ecosystems, Profile Expectation (Critical per Customer)
• Fully dedicated resource (not part-time)
• Ability to work in intense collaboration (even evenings/weekends if needed)
• Strong ownership mindset (not staff augmentation mindset)
• Capable of bridging gap between: Vision, Architecture and Execution

Experience Required:

• Need min of 10 years of IT Experience