AI Solution Architect

AI Solution Architect

The Opportunity:

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 consulting skills or extensive technical expertise and full industry knowledge. Develop innovative solutions to complex problems. Work without considerable direction. Mentor and may supervise team members.

• Experience integrating AI capabilities into business processes, workflows, or production software applications
• Experience with AI-assisted development tooling, including Git Hub Copilot, Copilot CLI, Codex, or Claude Code
• Experience with Git Hub Actions for CI/CD, workflow automation, or pipeline orchestration
• Experience developing in NodeJS, .NET, or SQL
• Experience designing scaffolding, harnesses, or orchestration layers that allow AI tools to operate reliably within an existing engineering or business environment
• Knowledge of AI solution architecture patterns, including prompt design, retrieval-augmented generation (RAG), tool calling, and agentic workflows
• Knowledge of secure software development practices, version control, and code review processes in a team setting
• Ability to translate client business problems into implementable AI solution designs, work without considerable direction, develop innovative solutions to complex problems, and mentor or supervise team members
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• Bachelor's degree and 5+ years of experience in software engineering, AI/ML integration, or solution architecture, or Master's degree and 3+ years of experience in software engineering, AI/ML integration, or solution architecture

• Experience with Azure AI Foundry, including model deployment, evaluation, agent development, or content safety configuration
• Experience with agent frameworks and protocols, including Model Context Protocol (MCP), Semantic Kernel, Lang Chain, or Auto Gen
• Experience with consulting or client-facing delivery in a federal or public sector environment
• Knowledge of Azure cloud services, containerization, and infrastructure-as-code
• Knowledge of AI governance and risk frameworks, including the NIST AI Risk Management Framework
• Knowledge of evaluation methods for AI-generated code and output quality, including benchmarking and regression testing
• Ability to lead technical workshops and communicate solution trade-offs to both technical and non-technical stakeholders
• Ability to assess AI tooling options and produce recommendations aligned to client budget, security posture, and mission goals
• Master's degree in Computer Science, Software Engineering, Data Science, or a related field
• Microsoft Certified:
  Azure AI Engineer Associate (AI-102), Azure Solutions Architect Expert, Git Hub Actions, or Git Hub Copilot Certification

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

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…