Gen AI Project Manager

Boston, MA, US • Posted 1 hour ago • Updated 46 minutes ago
Contract W2
Contract Corp To Corp
Contract Independent
On-site
Fitment

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Job Details

Skills

  • AWS
  • LangChain
  • LLMs
  • Stakeholder Management
  • Data Governance
  • Top required skills from the JD
  • separated by commas: AI Project Management
  • Program Management
  • Generative AI
  • Machine Learning
  • Deep Learning
  • RAG (Retrieval Augmented Generation)
  • Agentic AI
  • LangGraph
  • MLOps
  • LLMOps
  • CI/CD for ML
  • AI Monitoring
  • Model Drift Management
  • Data Pipelines
  • Feature Stores
  • Azure AI Stack
  • Google Cloud
  • AI Platform Architecture
  • Model Registries
  • API Integration
  • Enterprise Integration Patterns
  • Responsible AI
  • AI Ethics
  • Model Risk Management
  • Explainability
  • BFSI / Capital Markets Domain
  • Enterprise AI Platform Delivery

Summary

Role: Gen AI Project Manager
Location: Boston, MA
Job Type: Hybrid / 3 Days Onsite

Role Overview

The AI Project / Program Manager will own end-to-end delivery and governance of a portfolio of AI initiatives, with a strong focus on enterprise AI platforms and AI productization. This role requires a rare blend of hands-on AI knowledge, product thinking, and strong program management, operating in highly regulated environments. The individual will work closely with senior leadership, engineering, data science, risk, compliance, and business stakeholders to ensure scalable, compliant, and value-driven AI outcomes.

Must-Have Skills & Experience

Core Experience

  • 10+ years of experience in Project / Program Management, with 3 4 years leading AI & Data-driven initiatives
  • Proven experience delivering enterprise AI platforms or AI products, not just isolated models or POCs
  • Strong exposure to regulated industries (within BFSI domain Capital Markets domain experience with focus on Asset Servicing / Custodian business would be a distinct advantage)
  • Experience managing end-to-end lifecycle of Gen AI projects from ideation to production deployment & scaling

Native AI & GenAI Proficiency

Solid understanding of:

  • Machine Learning, Deep Learning, and Generative AI
    • LLMs
    • Embeddings
    • RAG
    • Agents / Agentic AI
    • Frameworks like LangGraph, LangChain
  • MLOps / LLMOps
    • Model lifecycle
    • CI/CD for ML
    • AI monitoring and drift management
  • Data Foundations
    • Data pipelines
    • Feature stores
    • Data quality
    • Data governance

Platform & Architecture Awareness

  • Experience with cloud-based AI stacks (Azure preferred, AWS, Google)
  • Familiarity with AI platform components
    • Model registries
    • Orchestration
    • APIs
    • Security
    • Access controls
  • Understanding of enterprise integration patterns and scalability concerns

Governance & Responsible AI

  • Strong grasp of AI ethics, model risk management, explainability, and compliance requirements
  • Experience operationalizing Responsible AI frameworks in production environments

Leadership & Behavioural Competencies

  • Executive-ready communication and stakeholder influence
  • Strong systems thinking and ability to manage ambiguity
  • Bias toward outcomes, value realization, and business impact
  • Comfortable operating between strategy and execution

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91135852
  • Position Id: 2026-75/51
  • Posted 1 hour ago
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