AI Project Manager

Siri InfoSolutions Inc; Chicago (IL); Remote; USD 120,000 - 180,000; Full time

Job summary

Siri InfoSolutions Inc is seeking an experienced AI Project Manager to lead end-to-end AI workstreams remotely, aligning delivery with business goals and timelines.

You will coordinate AI engineering, data, architecture, and QA teams, manage budgets and risks, and drive governance and responsible AI practices across projects.

Qualifications

• Experience delivering AI/ML programs end-to-end.
• Expert in Agile ceremonies, sprint planning, stand-ups and retrospectives.
• Experience with governance, RAID, compliance and responsible AI practices.
• Ability to coordinate AI engineering, data, architecture and QA teams.

Responsibilities

• Lead end-to-end AI workstream delivery (planning, execution, monitoring).
• Manage project plans, timelines, dependencies, resources.
• Drive Agile ceremonies (planning, stand-ups, retrospectives).
• Act as primary interface between stakeholders and delivery teams.
• Ensure governance, compliance, and responsible AI adherence.

Skills

AI/ML delivery

Agile / Scrum PM

Multi-workstream PM

Stakeholder mgmt

GenAI delivery

Budget mgmt

Risk & governance

Cross-functional leadership

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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