AI Project Manager

AI Technical Delivery Manager Location: Hybrid ONSITE 3 days per week in Boston Onsite: Yes 3 days per week in Office, other 2 days remote Interview: Onsite Required Marchon's client is seeking an AI Technical Delivery 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. The individual 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. Successful applicant should have developement background in Java and/or Python creating genAI projects. The AI Technical Delivery Manager must be able to drive the project technically with engineering. Main areas of responsibilities : AI Program and Project Delivery 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 AI Governance, Risk & Compliance 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. Technical Leadership & Coordination 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. Value Realization & Reporting 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 Gen AI and Machine Learning initiatives.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.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, cloud platforms.