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Booz Allen

Builds AI and cyber systems for the US government

AI Solution Architect Lead

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeMcLean, VA, USA$112.8k - $257k /yrIn-person

About the Job

Requirements

  • At least 8 years of 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 AWS services or Kubernetes.
  • Experience implementing DevSecOps, continuous integration and continuous delivery, and infrastructure as code using tools such as GitHub Actions, Terraform, Helm, or CloudFormation.
  • Experience programming in Python and at least one additional language, such as 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.

Responsibilities

  • Design and deliver production-grade AI systems, cloud-native platforms, and reusable architecture baselines.
  • Collaborate with architects, engineers, product owners, and mission partners to develop agentic AI systems, retrieval-augmented generation pipelines, multi-agent orchestration, and DevSecOps capabilities.
  • Contribute to platform architecture and execute complex technical workstreams.
  • Help move research and prototypes into working systems under demanding timelines.

Desired Qualifications

  • Experience with large-scale model training frameworks such as NVIDIA NeMo, NeMo-RL, or Megatron-LM.
  • 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 AI-enabled engineering tools such as Cursor, Claude Code, or GitHub Copilot.
  • Experience implementing GitOps and declarative infrastructure patterns using technologies such as Argo CD.
  • 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.

About the Company

Booz Allen

Builds AI and cyber systems for the US government

Booz Allen builds and runs technology for the U.S. government, mostly for the military and intelligence agencies, and its engineers work alongside consultants who know each agency's mission. In 1958, it helped the U.S. Navy create PERT, a project-scheduling method first used on the Polaris submarine missile program and later adopted across government and industry. Its teams design cyber defenses, AI and data tools, and battlefield communications, and it sells its own products, such as Vellox, a suite of AI tools that spot and fight off hackers. Agencies pay mainly through multi-year contracts that reimburse costs, bill hours, or set a fixed price. Booz Allen was founded in 1914 and is based in McLean, Virginia.

Company size
10,001+
Company stage
IPO
Headquarters
McLean, VA
Founded
1914

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