Senior AI Project Manager

VetsEZ

Senior AI Project Manager leading the delivery of AI solutions for the Department of Veterans Affairs. Collaborating with multidisciplinary teams to enhance clinician access to healthcare data.

Posted 7/23/2026full-timeRemote • Florida • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading enterprise AI software development projects within healthcare, focusing on Generative AI solutions and Agile methodologies. Proficient in managing cross-functional teams, ensuring compliance with regulatory standards, and delivering cloud-based applications using AWS technologies.

Highest-signal resume keywords

Generative AI Solutions DeliveryAgile Software Development ManagementAWS Cloud Applications ExperienceHealthcare Interoperability StandardsRisk Management and Software Delivery Lifecycle

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Artificial IntelligenceMachine LearningGenerative AILarge Language ModelsRetrieval-Augmented GenerationCloud ArchitectureDevSecOps PracticesREST APIsPrompt EngineeringRisk Management

Soft Skills

LeadershipCollaborationCommunicationAccountabilityContinuous Improvement

Tools & Technologies

Amazon BedrockAWS AI ServicesHealthcare Informatics ToolsAgile ToolsProject Management Software

Industry Keywords

VA Healthcare InitiativesFederal EnvironmentsClinical ValidationAI GovernanceAuthority to Operate

Tech Stack

Tools & technologies

AWSCloudCyber SecuritySDLC

About the role

Key responsibilities & impact

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, including clinical validation, governance, security, and approval dependencies.
Manage project scope, risks, issues, assumptions, dependencies, and change requests, including decisions requiring Government approval.
Ensure project execution aligns with contractual requirements, business priorities, and delivery objectives.
Provide leadership that promotes collaboration, accountability, and continuous improvement across multidisciplinary teams.
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, privacy and AI governance stakeholders, and product owners.
Facilitate discovery sessions, requirements validation, solution demonstrations, and clinical feedback sessions.
Coordinate AI governance, Responsible AI, Human-in-the-Loop (HITL), security, privacy, and clinical validation activities.
Ensure AI capabilities align with clinical workflows, business objectives, and approved MVP scope, with measurable acceptance criteria for quality, source traceability, clinical relevance, latency, and clinician feedback.
Provide delivery oversight across Agile teams, ensuring sprint plans, dependencies, milestones, and release objectives align with the project roadmap.
Partner with Product Owners and Scrum Masters to support Agile planning, refinement, reviews, and retrospectives.
Monitor sprint progress, delivery metrics, and release readiness.
Coordinate resolution of cross-team impediments requiring Government, security, governance, clinical, or architectural decisions.
Coordinate test-environment readiness, clinical evaluation, and future transition planning with Government stakeholders.
Monitor project risks, technical dependencies, and schedule impacts while developing mitigation strategies.
Coordinate activities supporting Federal cybersecurity, privacy, AI governance, clinical validation, and Authority to Operate (ATO) planning.
Ensure compliance with applicable VA Software Development Lifecycle (SDLC), security, and operational requirements.
Support project reporting, audit readiness, governance readiness, and executive decision-making through accurate documentation and status reporting.
Prepare executive briefings, project status reports, dashboards, and milestone updates.
Present project progress, risks, dependencies, and recommendations to executive leadership and Government customers.
Communicate complex technical concepts effectively to both technical and non-technical audiences.
Foster strong customer relationships through proactive communication and collaboration.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Technology, Business, Healthcare Informatics, or a related field, or equivalent experience.
10+ years leading enterprise software development projects.
5+ years managing Agile software development teams delivering cloud-based applications.
Demonstrated experience leading Artificial Intelligence, Machine Learning, or Generative AI capabilities through development, evaluation, and formal approval.
Experience delivering AWS cloud applications using Amazon Bedrock or similar AI platforms.
Experience leading cross-functional teams in regulated healthcare or Federal environments.
Agile Software Development (Scrum/Kanban)
Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) delivery lifecycles
Amazon Bedrock and AWS AI services
Prompt engineering, source grounding, hallucination testing, human validation, and AI evaluation methodologies
Cloud architecture and DevSecOps practices
REST APIs and enterprise system integration
Healthcare interoperability standards (FHIR, HL7, CCD)
Risk management and software delivery lifecycle

Benefits

Comp & perks

Medical, Dental, and Vision Insurance
401(k) with Employer Match
Paid Time Off plus Federal Holidays
Corporate Laptop
Professional Development and Training Opportunities