Senior AI Project Manager

This is a fully remote position, open to applicants in Florida.

📋 Description

• Oversee the planning, execution, and delivery of enterprise AI software development projects that support VA healthcare initiatives.

• Create and manage comprehensive project schedules, milestones, deliverables, resource allocation plans, and roadmaps, ensuring integration of clinical validation, governance, security, and approval dependencies.

• Administer project scope, risks, issues, assumptions, dependencies, and change requests, including decisions that necessitate Government approval.

• Ensure that project execution is in alignment with contractual obligations, business priorities, and delivery goals.

• Provide leadership that fosters collaboration, accountability, and continuous improvement among multidisciplinary teams.

• Direct the delivery of Generative AI solutions employing Retrieval-Augmented Generation (RAG) architectures and Large Language Models (LLMs).

• Facilitate coordination among Government stakeholders, clinicians, architects, engineers, cybersecurity teams, privacy and AI governance stakeholders, and product owners.

• Lead discovery sessions, validate requirements, conduct solution demonstrations, and gather clinical feedback.

• Oversee AI governance, Responsible AI initiatives, Human-in-the-Loop (HITL), security, privacy, and clinical validation activities.

• Ensure that AI functionalities are compatible with clinical workflows, business objectives, and the approved MVP scope, establishing measurable acceptance criteria for quality, source traceability, clinical relevance, latency, and clinician input.

• Provide oversight of delivery across Agile teams, ensuring alignment of sprint plans, dependencies, milestones, and release outcomes with the project roadmap.

• Collaborate with Product Owners and Scrum Masters to facilitate Agile planning, refinement, reviews, and retrospectives.

• Track sprint progress, delivery metrics, and readiness for release.

• Manage the resolution of cross-team impediments that require Government, security, governance, clinical, or architectural decisions.

• Coordinate the readiness of test environments, clinical evaluations, and future transition planning with Government stakeholders.

• Monitor project risks, technical dependencies, and scheduling impacts while formulating mitigation strategies.

• Coordinate activities related to Federal cybersecurity, privacy, AI governance, clinical validation, and Authority to Operate (ATO) planning.

• Ensure adherence to relevant VA Software Development Lifecycle (SDLC), security, and operational requirements.

• Support project reporting, audit readiness, governance preparedness, and executive decision-making through precise documentation and status updates.

• Prepare executive briefings, project status reports, dashboards, and updates on milestones.

• Present project progress, risks, dependencies, and recommendations to executive leadership and Government clients.

• Effectively communicate complex technical concepts to both technical and non-technical audiences.

• Build and maintain strong customer relationships through proactive communication and collaboration.

⛳️ Requirements

• A Bachelor's degree in Computer Science, Information Technology, Business, Healthcare Informatics, or a related field, or equivalent experience.

• A minimum of 10 years of experience leading enterprise software development projects.

• At least 5 years of experience managing Agile software development teams that deliver cloud-based applications.

• Proven experience in leading Artificial Intelligence, Machine Learning, or Generative AI capabilities through their development, evaluation, and formal approval processes.

• Experience in delivering AWS cloud applications using Amazon Bedrock or similar AI platforms.

• Background in leading cross-functional teams within regulated healthcare or Federal environments.

• Familiarity with Agile Software Development methodologies (Scrum/Kanban).

• Knowledge of Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) delivery lifecycles.

• Proficiency in Amazon Bedrock and AWS AI services.

• Expertise in prompt engineering, source grounding, hallucination testing, human validation, and AI evaluation methodologies.

• Understanding of cloud architecture and DevSecOps practices.

• Experience with REST APIs and enterprise system integration.

• Knowledge of healthcare interoperability standards (FHIR, HL7, CCD).

• Skills in risk management and the software delivery lifecycle.

🏝️ Benefits

• Medical, Dental, and Vision Insurance.

• 401(k) with Employer Match.

• Paid Time Off plus Federal Holidays.

• Corporate Laptop.

• Professional Development and Training Opportunities.