Senior AI Project Manager

New
V
VetsEZHealthcare Technology
Remote OpportunityFull-TimeSenior
Salary not disclosed
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Job Details

Experience
10+ years leading enterprise software development projects; 5+ years managing Agile software development teams.
Required Skills
AWSProject ManagementAgilePrompt EngineeringLLMGenerative AI

Requirements

  • Bachelor's degree in Computer Science, IT, Business, Healthcare Informatics, or equivalent experience.
  • 10+ years leading enterprise software development projects.
  • 5+ years managing Agile software development teams delivering cloud-based applications.
  • Experience leading AI, Machine Learning, or Generative AI capabilities through development and evaluation.
  • Experience delivering AWS cloud applications using Amazon Bedrock or similar AI platforms.
  • Experience leading cross-functional teams in regulated healthcare or Federal environments.
  • Proficiency in Agile Software Development (Scrum/Kanban).
  • Knowledge of Generative AI, LLMs, and RAG delivery lifecycles.
  • Experience with prompt engineering, source grounding, and hallucination testing.
  • Knowledge of cloud architecture, DevSecOps, REST APIs, and enterprise system integration.
  • Understanding of healthcare interoperability standards (FHIR, HL7, CCD).
  • Ability to obtain and maintain a Government Public Trust clearance.

Responsibilities

  • Lead planning, execution, and delivery of enterprise AI software development projects supporting VA healthcare initiatives.
  • Develop and manage integrated project schedules, milestones, deliverables, resource plans, and roadmaps.
  • Manage project scope, risks, issues, assumptions, dependencies, and change requests.
  • Lead delivery of Generative AI solutions utilizing Retrieval-Augmented Generation (RAG) architectures and Large Language Models (LLMs).
  • Coordinate activities between Government stakeholders, clinicians, architects, engineers, cybersecurity teams, and governance stakeholders.
  • Ensure AI capabilities align with clinical workflows, business objectives, and approved MVP scope.
  • Partner with Product Owners and Scrum Masters to support Agile planning, refinement, and retrospectives.
  • Prepare executive briefings, project status reports, dashboards, and milestone updates.
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