AI Solution Architect at Booz Allen in McLean, VA

Job description

AI Solution Architect, Lead The Opportunity: Organizations are increasingly using artificial intelligence (AI), cloud computing, and modern software architectures to solve complex mission challenges. Delivering these capabilities requires technical leaders who can connect strategy to implementation and turn emerging technologies into secure, scalable solutions. As a Solution Architect, you know how to translate complex technical requirements into production-ready systems. We’re looking for an experienced Solution Architect like you to support innovative AI and cloud initiatives for national security. As a Solution Architect on our team, you’ll design and deliver production-grade AI systems, cloud-native platforms, and reusable architecture baselines. You’ll collaborate with architects, engineers, product owners, and mission partners to develop agentic AI systems, retrieval-augmented generation (RAG) pipelines, multi-agent orchestration, and DevSecOps capabilities. You’ll also contribute to platform architecture, execute complex technical workstreams, and help move research and prototypes into working systems under demanding timelines. With your ability to operate across AI architecture, cloud infrastructure, and software engineering, you’ll help establish repeatable technical patterns and accelerate innovation across the mission. Join us. The world can’t wait. You Have: 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 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 Nice If You Have: 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 Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. 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 progra