Health AI Systems Architect

The Opportunity:

To achieve an organization’s mission, leaders need strong team members who can create and analyze processes, communicate requirements, and develop innovative solutions throughout the execution of the mission. Whether reviewing program-wide technical architecture or providing technical input on synthetic data strategies, our clients need someone who combines deep technical understanding of health data and AI systems with strong architectural judgment, and who can translate complex technical tradeoffs into clear, actionable guidance for program leadership and partners. That is why we need an experienced Health AI Systems Architect like you who can operate at a system-of-systems level to support clients in advancing AI-enabled systems in healthcare.

As a part of our team, you'll serve as a strategic technical architect to the Advanced Research Projects Agency for Health (ARPA-H), helping conceptualize, create, and execute advanced government-funded research and development programs to accelerate better health outcomes for everyone. Work with world-class scientists and engineers to support the development of high-impact solutions to society's most challenging health problems. Leverage technical expertise to provide strategic assessments of new technologies in support to senior ARPA-H decision-makers. Maintain responsibility for producing and presenting findings and recommendations to a team of colleagues and clients on the feasibility and potential impact of future research programs, assisting with the management of current programs, and facilitating commercialization of successfully developed technologies. 

You'll serve as a Health AI Systems Architect advising program leadership and external performers on how technical components fit together across the full lifecycle of the program. You will support clients in ensuring that program-wide technical architecture, spanning data, infrastructure, governance, and security, supports rigorous AI development, evaluation, and long-term impact. Your attention to detail, flexibility, communication skills, understanding of the client's mission, and problem-solving will enable the mission's success.

What You’ll Work On:

• Provide program-wide architectural guidance across data aggregation, new data generation, and shared data infrastructure.
• Advise on end-to-end data flows, data governance, privacy, and security models.
• Review technical architectures and system designs proposed by external teams for feasibility, scalability, security, and alignment with program objectives.
• Advise on healthcare dataset lifecycle management and synthetic data strategies to support reproducibility and reuse in healthcare contexts.
• Assess infrastructure and compute tradeoffs for scalability, interoperability, and cost.
• Identify system-level risks and recommend mitigation strategies.
• Serve as a technical liaison between infrastructure teams, data contributors, AI developers, clinical SMEs, and program leadership.
• Develop technical documentation, architecture briefs, and presentations for internal and external stakeholders.

Join us. The world can’t wait.

You Have:

• 7+ years of experience designing, evaluating, or overseeing complex data-intensive systems
• Experience designing or evaluating data platforms, data commons, or shared research infrastructure
• Experience with healthcare data types such as EHR, imaging, genomic, or multimodal, and their architectural implications
• Experience assessing system-level infrastructure, computing, storage, access control, and scalability tradeoffs
• Experience reviewing technical architecture and system designs
• Experience producing and presenting high-quality technical documentation and presentations in a fast-paced, dynamic environment
• Knowledge of data governance, privacy, and security principles for health data
• Master’s degree in a CS, Biomedical Informatics, Systems Engineering, or Data Science field

Nice If You Have:

• Experience with synthetic data generation and validation in healthcare or biomedical contexts
• Experience with health data interoperability standards and their application in large-scale data systems
• Experience in technical advisory or evaluation roles
• Experience working across multi-institution or multi-performer programs
• Experience working in early-stage, fast-paced, and startup environments
• Ability to be well-organized, detail-oriented, and adept at multitasking and prioritizing responsibilities to meet deadlines
• Doctorate degree in CS, Biomedical Informatics, Systems Engineering, Data Science, or a related field

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.