AI Subject Matter Expert

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Stellenbeschreibung:

Serve as the contractor team’s senior AI technical advisor to the VHA National AI Institute across AI inventory, risk management, oversight, and enterprise strategy workstreams

Author and maintain AI risk management playbooks, standard operating procedures, guides, and living FAQ documents

Translate federal AI policy into actionable guidance for non-specialist VHA audiences

Advise AI use case owners on developing and executing AI risk management plans through working sessions, office hours, and asynchronous support

Design and execute an AI risk stratification pilot, including a methodology for evaluating and assigning risk levels to AI systems

Support VHA business units in creating and updating AI innovation and governance strategies across at least five business units

Develop training materials and deliver training webinars for AI use case owners and AI oversight personnel

Provide expert content and programming for VHA AI governance entities, including trainings and summits

Research emerging AI risk management approaches and tools for briefings to Institute leadership and government stakeholders

Develop AI entrepreneur and adopter playbooks covering internal development and vendor evaluation pathways

Advise government decision-makers without making agency decisions

Requirements

More than 15 years of experience in the life sciences industry focused on creating and delivering data science and artificial intelligence solutions to accelerate healthcare innovation

Eight or more years developing or applying AI tools inside a healthcare enterprise at scale preferred

Experience leading efforts to aggregate, analyze, and interpret health information

Experience developing processes, solutions, and information architectures leveraging medical images, electronic health records, wearable data, and -omics data

Experience using data platforms to scale machine learning algorithms through a ModelOps AI platform

Doctorate degree in a computational, data science, health informatics, clinical, or life sciences discipline

Must be able to obtain and maintain a favorably adjudicated Tier 1 / NACI background investigation

Must complete VA Privacy and Information Security Awareness and Rules of Behavior training (TMS #10176) prior to system access and annually thereafter

Must be authorized to work in the United States

All work must be performed within a jurisdiction subject to the law of the United States or its territories

Command of federal AI policy and governance, including EO 13960, OMB M-25-21 and M-25-22, the VA Trustworthy AI Framework, and the NIST AI Risk Management Framework

Experience with AI use case inventories, model registries, or comparable enterprise AI transparency mechanisms

Familiarity with ModelOps or comparable platforms

Prior VA, VHA, DoD health, or other federal health agency experience strongly preferred

Experience advising clinical stakeholders on AI risk in a health system setting

Familiarity with VA Arches or comparable accredited federal AI and analytics environments

Experience authoring governance artifacts such as charters, playbooks, SOPs, and assessment guides adopted by an operating organization

Knowledge of military and Veteran populations

Outstanding written and verbal communications skills

Core Competencies

Expertise in AI risk management and governance within healthcare, with a strong focus on developing actionable strategies and training for AI use case owners. Proven ability to translate complex federal AI policies into practical guidance for diverse audiences while leveraging extensive experience in data science and artificial intelligence solutions.