AI Solution Architect

About the role

Design and implement effective AI solution architecture or strategy utilizing approaches of various AI technologies and methods to address clients' business problems and needs, while complying with the organization’s strategies and business goals, and key ethical considerations. Apply advanced skills, extensive technical expertise, and full industry knowledge. Develop innovative solutions to complex problems. Work without considerable direction and mentor and supervise team members.

Responsibilities

• Architect and deliver AI-enabled mission or enterprise systems, including data integration, secure compute, and operator-facing applications across restricted or classified environments
• Design and implement data pipelines, ontologies, and application workflows on platforms such as Palantir Foundry or Gotham, including air-gapped, degraded-connectivity, or multi-classification deployments
• Build secure analytics ecosystems, including log pipelines, monitoring frameworks, operational dashboards, or intelligence-fusion environments, such as greenfield or migrated from legacy tooling
• Integrate AI/ML capabilities into production workflows or operator tooling, including LLM-backed assistants, model-augmented decision aids, or automation that expands what a small team can deliver
• Make sound architectural tradeoffs in constrained, shifting, or high-pressure mission conditions such as restricted toolsets, tight timelines, fragmented networks, or mid-execution requirement changes
• Quickly learn unfamiliar technologies, develop real hands-on mastery, and lead engineers through full implementation with confidence
• Architect under ambiguity, own outcomes end-to-end, and communicate decisions clearly to engineers, government stakeholders, and senior non-technical leaders

Requirements

• 6+ years of experience architecting and delivering AI-enabled mission or enterprise systems
• 6+ years of experience designing and implementing data pipelines, ontologies, and application workflows on platforms such as Palantir Foundry or Gotham
• 6+ years of experience building secure analytics ecosystems
• 6+ years of experience with DevSecOps practices such as containerization, orchestration, CI/CD, and automated testing adapted for limited toolchain environments
• 6+ years of experience integrating AI/ML capabilities into production workflows or operator tooling
• 6+ years of experience making sound architectural tradeoffs in constrained, shifting, or high-pressure mission conditions

Qualifications

• Ability to quickly learn unfamiliar technologies, develop real hands-on mastery, and lead engineers through full implementation with confidence
• Ability to architect under ambiguity, own outcomes end-to-end, and communicate decisions clearly to engineers, government stakeholders, and senior non-technical leaders

Skills

• Advanced skills, extensive technical expertise, and full industry knowledge in AI technologies and methods
• Experience working across multiple clouds, enclaves, or classification levels on the same program
• Experience supporting DoD installations, operational units, or C2 systems
• Experience building agentic workflows, automation pipelines, or custom tooling that materially increased engineering throughput or reduced operator friction
• Experience in a technical lead role where you were accountable for both the design and successful delivery of the system
• Experience operating on a tiger team, fly-away cell, or rapid-response unit

Benefits

• Health, life, disability, financial, and retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care

Pay

$99,000.00 to $225,000.00 (annualized USD)

Schedule

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.