Job description

Job Title: AI Technical Project Manager. Location: Boston, MA (On-site). Employment Type: Contract (W2 through ZipStaff — No C2C or 1099). About the Opportunity: ZipStaff is seeking an AI Technical Project Manager to lead enterprise adoption of AI products and platforms at a major financial services organization in Boston. You will run Generative AI, Agentic AI, and ML programs across engineering, infrastructure, cyber, legal, compliance, risk, and vendors — with measurable value and tight governance. Generic PMs without AI delivery experience will not be a fit. What You’ll Do: • Lead end-to-end delivery of GenAI, Agentic AI, and ML initiatives. • Define scope, success metrics, milestones, schedules, budgets, and dependencies. • Run multiple concurrent AI workstreams (including developer productivity and legacy-code modernization). • Act as liaison among technology, control functions, legal, and vendors. • Brief senior management and executives. • Establish approved usage patterns, governance, and operating procedures. • Coordinate risk assessments, legal reviews, cyber evaluations, and compliance. • Partner with architecture and engineering on integrations, security, and platform work. • Facilitate technical design discussions and challenge weak assumptions. • Define KPIs; track utilization, productivity, cost, and ROI. • Build executive dashboards and adoption reporting. • Recommend expand / optimize / retire decisions based on value and usage. Required Qualifications: • 10+ years project or program management. • 3+ years leading GenAI and machine learning initiatives. • Strong working knowledge of Generative AI, Agentic AI, AI SDLC, cloud platforms, developer-productivity tools, and enterprise architecture. • Experience with Engineering, Cyber, Risk, Compliance, and Legal stakeholders. • Strong analysis, communication, and executive presentation. • Ability to work on-site in Boston, MA. • Must be legally authorized to work in the United States without sponsorship now or in the future. Preferred Qualifications: • GitHub Copilot, Azure AI Foundry, Claude Code , or similar enterprise AI tools. • Enterprise technology adoption and change management. • AI governance frameworks. • PMP (or equivalent). • GenAI certification (Microsoft, AWS, Google, Databricks, or equivalent) covering LLMs, agents, RAG, prompt engineering, enterprise AI architecture, security, and responsible AI. About ZipStaff: ZipStaff partners with leading organizations to connect skilled delivery leaders with high-impact contract opportunities. We focus on quality matches and long-term success. To apply , please submit your resume highlighting 10+ years PM/program work and 3+ years leading GenAI or ML initiatives in a regulated environment. Pay: $55 - $58 per hour

Requirements

Must-haves

Job Title: AI Technical Project Manager.
Location: Boston, MA (On-site).
Employment Type: Contract (W2 through ZipStaff — No C2C or 1099).
Lead end-to-end delivery of GenAI, Agentic AI, and ML initiatives.
Define scope, success metrics, milestones, schedules, budgets, and dependencies.
Run multiple concurrent AI workstreams (including developer productivity and legacy-code modernization).
Act as liaison among technology, control functions, legal, and vendors.
Brief senior management and executives.
Establish approved usage patterns, governance, and operating procedures.
Coordinate risk assessments, legal reviews, cyber evaluations, and compliance.
Partner with architecture and engineering on integrations, security, and platform work.
Facilitate technical design discussions and challenge weak assumptions.
Define KPIs; track utilization, productivity, cost, and ROI.
Build executive dashboards and adoption reporting.
Recommend expand / optimize / retire decisions based on value and usage.
10+ years project or program management.
3+ years leading GenAI and machine learning initiatives.
Strong working knowledge of Generative AI, Agentic AI, AI SDLC, cloud platforms, developer-productivity tools, and enterprise architecture.
Experience with Engineering, Cyber, Risk, Compliance, and Legal stakeholders.

Nice-to-haves

GitHub Copilot, Azure AI Foundry, Claude Code , or similar enterprise AI tools.
Enterprise technology adoption and change management.
AI governance frameworks.
PMP (or equivalent).
GenAI certification (Microsoft, AWS, Google, Databricks, or equivalent) covering LLMs, agents, RAG, prompt engineering, enterprise AI architecture, security, and responsible AI.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlmachine learningazureaws

Platform: betterteam
Effort: medium