Senior AI Project Manager (Remote Opportunity)
RemoteUnited States
Job Summary
Lead planning, execution, and delivery of enterprise AI software development projects supporting VA healthcare initiatives, specifically the Joint Longitudinal Viewer AI Summarization effort. Manage integrated project schedules, milestones, and deliverables while coordinating activities between Government stakeholders, clinicians, architects, engineers, and cybersecurity teams. Facilitate discovery sessions, requirements validation, and clinical feedback to ensure AI capabilities align with clinical workflows and approved MVP scope. Provide delivery oversight across Agile teams, monitor sprint progress, and resolve cross-team impediments requiring Government or security decisions. Coordinate Responsible AI, Human-in-the-Loop validation, and Federal cybersecurity compliance throughout the SDLC. Prepare executive briefings and status reports to support decision-making.
Required Qualifications
- 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
- Strong leadership, organizational, and project management skills
- Excellent communication and presentation skills with experience briefing executive leadership and Government stakeholders
- Experience coordinating multidisciplinary engineering, cybersecurity, infrastructure, and clinical teams
- Strong analytical, problem-solving, and decision-making abilities
- Ability to manage multiple priorities in a fast-paced Agile environment
- Ability to obtain and maintain a Government Public Trust clearance
- Project Management Professional (PMP), PMI-ACP, Certified Scrum Master (CSM), or SAFe certification
- Experience supporting the Department of Veterans Affairs (VA), Department of Defense (DoD), or other Federal healthcare organizations
- Experience delivering AI-enabled clinical workflow, search, summarization, or clinician-support capabilities requiring human validation
- Knowledge of Responsible AI, NIST AI Risk Management Framework (AI RMF), NIST SP 800-53, FISMA, and FedRAMP
- Familiarity with clinical terminology standards including SNOMED CT, ICD-10, RxNorm, and LOINC
Desired Qualifications
- AWS Cloud, AI, or Machine Learning certifications are highly desirable
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