AI Solution Architect

Booz Allen Hamilton • McLean, VA

1d • $112,800 - $257,000

About The Position

As a Solution Architect, you will support AI and cloud initiatives for national security by translating complex technical requirements into secure, scalable, production-ready systems. You will design and deliver production-grade AI systems, cloud-native platforms, and reusable architecture baselines. Working with architects, engineers, product owners, and mission partners, you will develop agentic AI systems, retrieval-augmented generation (RAG) pipelines, multi-agent orchestration, and DevSecOps capabilities. You will contribute to platform architecture, execute complex technical workstreams, and help move research and prototypes into working systems under demanding timelines. Your work will establish repeatable technical patterns and accelerate innovation across the mission.

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Candidates are expected to be on camera during interviews and assessments; identity verification may use biometrics and AI. Use of AI or other tools to assist with interview responses is prohibited unless explicitly permitted.

Requirements

• Experience architecting and delivering enterprise AI, cloud, and platform solutions for government or regulated environments.
• Experience designing and delivering production-grade AI systems using agentic frameworks such as LangChain, LangGraph, AWS Bedrock Agents, or CrewAI.
• Experience architecting highly available, scalable, and resilient cloud environments using platforms such as AWS services or Kubernetes.
• Experience implementing DevSecOps, CI/CD, and Infrastructure-as-Code capabilities using tools such as GitHub Actions, Terraform, Helm, or CloudFormation.
• Experience programming in Python and at least one additional language, including TypeScript, JavaScript, Java, or Go.
• Experience leading or co-architecting research, development, or prototyping initiatives in ambiguous environments and moving concepts into working systems.
• Knowledge of federal, Department of Defense, or government programs, including IL4, IL5, FedRAMP, or AWS GovCloud.
• Ability to obtain a Secret clearance.
• Bachelor’s degree in Computer Science, Engineering, or Information Technology.

Nice To Haves

• Experience with NVIDIA NeMo, NeMo-RL, Megatron-LM, or similar large-scale model training frameworks.
• Experience with NVIDIA platform technologies, including NIM, TensorRT-LLM, or Triton Inference Server.
• Experience with specification-driven development workflows or AI-native software development lifecycle practices.
• Experience using Cursor, Claude Code, GitHub Copilot, or similar AI-enabled engineering tools.
• Experience implementing GitOps and declarative infrastructure patterns using Argo CD or similar technologies.
• Experience developing internal platform tools or developer portals, including Backstage or similar platforms.
• Experience working in multi-cloud or hybrid cloud environments.
• Knowledge of GPU cluster management, distributed training strategies, or machine learning infrastructure at scale.
• Knowledge of emerging AI protocols, including Model Context Protocol, Agent-to-Agent, or similar agentic communication standards.
• Ability to provide technical guidance, mentor architects and engineers, or lead architecture and platform engineering teams.

Responsibilities

• Design and deliver production-grade AI systems, cloud-native platforms, and reusable architecture baselines.
• Develop agentic AI systems, retrieval-augmented generation (RAG) pipelines, multi-agent orchestration, and DevSecOps capabilities in collaboration with architects, engineers, product owners, and mission partners.
• Contribute to platform architecture and execute complex technical workstreams.
• Move research and prototypes into working systems under demanding timelines.
• Establish repeatable technical patterns and accelerate innovation across the mission.

Benefits

• Health, life, and disability benefits
• Financial and retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care
• Recognition awards program

What This Job Offers

• Job Type: Full-time
• Career Level: Senior