AI Project Manager

Intone Networks

  • Boston, MA
  • 2 days ago

    Highlights

    You will coordinate cross-functional teams across Software Development, Infrastructure, Cybersecurity, Legal, Compliance, Risk Management, and Vendor Management; manage delivery risks; align stakeholders; and ensure AI initiatives deliver measurable business value while meeting security, compliance, and governance requirements. Generative AI Certification from Microsoft, AWS, Google, Databricks, or equivalent, covering LLMs, AI agents, retrieval-augmented generation (RAG), prompt engineering, enterprise AI architecture, security, and responsible AI.

    Numbers & Facts

    LocationBoston, MA

    Description

    This is a 12-month contract role based in Boston, Massachusetts. We are seeking an AI Technical Project Manager to lead the adoption of AI-enabled products, platforms, and solutions across the organization. This role combines strong project management discipline with technical understanding of AI/ML technologies, data platforms, cloud infrastructure, and software engineering practices. You will coordinate cross-functional teams across Software Development, Infrastructure, Cybersecurity, Legal, Compliance, Risk Management, and Vendor Management; manage delivery risks; align stakeholders; and ensure AI initiatives deliver measurable business value while meeting security, compliance, and governance requirements.

    Responsibilities

    • Lead end-to-end delivery of Generative AI, Agentic AI, and Machine Learning initiatives.
    • Define project scope, objectives, success metrics, milestones, and delivery plans.
    • Establish and manage project schedules, budgets, resources, and dependencies.
    • Drive execution across multiple concurrent AI projects and workstreams, including developer productivity and legacy code modernization platforms.
    • Monitor project progress and proactively address risks, blockers, and issues.
    • Build strong partnerships across Technology, Risk, Legal, Compliance, and Business teams.
    • Manage stakeholder expectations, priorities, and competing demands.
    • Act as the primary liaison between technology teams, control functions, legal, and vendors.
    • Deliver clear and concise status updates to senior management and executive stakeholders.
    • Establish approved usage patterns, governance standards, and operating procedures.
    • Ensure AI projects comply with internal governance frameworks and regulatory requirements.
    • Coordinate risk assessments, legal reviews, cybersecurity evaluations, and compliance requirements.
    • Partner with Architecture and Engineering teams on integrations, security controls, and platform enhancements.
    • Facilitate technical design discussions and challenge assumptions to optimize solutions.
    • Ensure alignment between AI solutions, enterprise architecture standards, cybersecurity requirements, and infrastructure strategy.
    • Partner with AI Development, Cyber Security, Vendor Management, and Infrastructure teams to ensure successful solution delivery.
    • Define KPIs and success metrics for AI platforms.
    • Track utilization, productivity gains, cost optimization, and return on investment.
    • Build executive dashboards and adoption reporting.
    • Recommend expansion, optimization, or retirement of AI capabilities based on business value and usage data.

    Qualifications

    • Required

    • 10+ years of Project Management, Program Management, or related experience.

    • 3+ years leading Generative AI and Machine Learning initiatives.

    • Strong understanding of Generative AI, Agentic AI, AI SDLC, cloud platforms, developer productivity tools, and enterprise architecture concepts.

    • Experience working with cross-functional stakeholders including Engineering, Cyber, Risk, Compliance, and Legal.

    • Strong analytical, communication, and executive presentation skills.

    • Preferred

    • Experience with GitHub Copilot, Azure Foundry, Claude Code, or similar enterprise AI solutions.

    • Experience leading enterprise technology adoption and/or change management initiatives.

    • Familiarity with AI governance frameworks, software development practices, and cloud platforms.

    • Project Management Professional (PMP) certification or equivalent.

    • Generative AI Certification from Microsoft, AWS, Google, Databricks, or equivalent, covering LLMs, AI agents, retrieval-augmented generation (RAG), prompt engineering, enterprise AI architecture, security, and responsible AI.

    Similar Jobs