AI Project Manager

SFE; Chicago (IL); Remote; USD 110,000 - 160,000; Full time

Job summary

SFE is seeking an experienced AI Project Manager to lead end-to-end AI workstreams, from planning to delivery, in a fully remote setup.

You will coordinate across AI engineering, data, architecture, QA; drive Agile ceremonies; manage budgets and vendor relations; ensure compliance and responsible AI practices.

Strong stakeholder communication and governance skills are required to drive outcomes in enterprise-scale programs.

Qualifications

• Must have experience delivering AI/ML programs at enterprise scale.
• Proven ability to manage multiple streams and dependencies.
• Strong governance and risk management practices.

Responsibilities

• Lead end-to-end AI workstream delivery (planning, execution, monitoring).
• Manage project plans, timelines, dependencies, resources.
• Drive Agile ceremonies (sprint planning, stand-ups, retrospectives).
• Act as primary interface between stakeholders and delivery teams.
• Ensure governance, compliance, and responsible AI adherence.
• Coordinate across AI engineering, data, architecture, QA teams.
• Track KPIs (timeline, quality, business outcomes).
• Manage budgets, forecasts, and vendor coordination.
• Identify & mitigate risks, issues, dependencies (RAID).
• Lead cross-functional AI teams and delivery model execution.
• Stakeholder communication at Executive and Technical levels.

Skills

AI/ML Program Delivery

Agile / Scrum PM

Multi-workstream PM

Stakeholder Management

Financial & Budget Mgmt

Risk & Governance

Cross-functional Leadership

GenAI delivery exposure

Job description

Role: AI Project manager

Location: Remote

Duration: Fulltime/Permanent Job

Job Description

Must Have Technical/Functional Skills

• AI/ML Program Delivery & Lifecycle Management
• Agile / Scrum Project Management
• Multi-workstream Program Management (enterprise scale)
• Stakeholder Management (Business + IT Leadership)AI/ML & GenAI delivery exposure (LLM, RAG, Agentic AI)
• Financial & Budget Management (SoW, forecasting)
• Risk & Governance Management (RAID, compliance)
• Cross-functional Team Leadership

Must Have Technical/Functional Skills

Roles & Responsibilities

• Lead end-to-end AI workstream delivery (planning execution monitoring
• Manage project plans, timelines, dependencies, resources
• Drive Agile ceremonies (sprint planning, stand-ups, retrospectives)
• Act as primary interface between stakeholders and delivery teams
• Ensure governance, compliance, and responsible AI adherence
• Coordinate across AI engineering, data, architecture, QA teams
• Track KPIs (timeline, quality, business outcomes)
• Manage budgets, forecasts, and vendor coordination
• Identify & mitigate risks, issues, dependencies (RAID)
• Lead cross-functional AI teams and delivery model execution
• Generic Managerial Skills, If any
• Stakeholder Communication (Executive + Technical)
• Leadership of cross-functional teams (AI/DS/Engineering)
• Program Governance & Decision Making
• Risk Management & Escalation Handling Financial Planning & Cost Control
• Vendor & Partner Management Delivery Excellence & Quality Assurance
• Change & Scope Management

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