AI Engineering / Delivery Lead

American IT SystemsPiscataway, NJ
Onsite

About The Position

We are seeking an experienced AI Engineering / Delivery Lead to oversee the successful execution and delivery of multiple AI and Generative AI (GenAI) initiatives. The role will be responsible for managing day-to-day delivery activities, coordinating cross-functional teams, engaging with stakeholders, and ensuring the timely and high-quality delivery of AI solutions.

Requirements

  • 8+ years of program/project delivery experience as an Engineering Leader.
  • 3+ years of experience leading AI initiatives.
  • Strong understanding of: AI / GenAI solutions
  • Microsoft AI ecosystem
  • AI governance
  • Experience managing multiple concurrent AI projects.
  • Strong stakeholder management, communication, and leadership skills.
  • Familiarity with: Microsoft AI Foundry
  • Microsoft Copilot Studio
  • Microsoft Power Platform
  • Agile delivery methodologies

Nice To Haves

  • PMP, SAFe, Scrum Master, or equivalent certification.
  • Experience leading enterprise AI transformation programs.
  • Proven track record of delivering AI solutions in complex enterprise environments.
  • Experience working with cross-functional engineering, architecture, product, and business teams.
  • Strong ability to manage senior stakeholders and drive successful program outcomes.

Responsibilities

  • Lead end-to-end delivery of AI, GenAI, and automation initiatives.
  • Manage project plans, timelines, risks, dependencies, and reporting.
  • Coordinate with architects, developers, business teams, and client stakeholders.
  • Ensure adherence to AI governance, security, and delivery standards.
  • Track project milestones, business outcomes, and value realization.
  • Provide executive-level status updates and proactively drive issue resolution.
  • Manage multiple AI projects simultaneously while ensuring delivery quality and timelines.
  • Identify delivery risks and dependencies and develop mitigation plans.
  • Facilitate communication and collaboration across technical and business teams.
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