{"id":2883223,"url":"https://alion.io/job/booz-allen-hamilton-ai-solution-architect-4","title":"AI Solution Architect","company":{"id":244,"name":"Booz Allen Hamilton","domain":"boozallen.com","url":"https://alion.io/company/booz-allen","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":177,"ghost_share":0,"stale_share":0.588,"repost_share":0.028,"time_to_fill_p50_days":30,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["McLean, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":112800,"max":257000,"currency":"USD","period":"year","gross":null,"usd_annual":257000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"CrewAI","optional":false},{"name":"FedRAMP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Go","optional":false},{"name":"Helm","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"ArgoCD","optional":true},{"name":"Backstage","optional":true},{"name":"Claude Code","optional":true},{"name":"Copilot","optional":true},{"name":"Cursor","optional":true},{"name":"GitOps","optional":true},{"name":"Machine Learning","optional":true},{"name":"Megatron-LM","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"NVIDIA NeMo","optional":true},{"name":"TensorRT","optional":true},{"name":"TensorRT-LLM","optional":true},{"name":"Triton Inference Server","optional":true}],"status":"live","first_seen_at":"2026-10-14T00:00:00Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-11-01T12:53:09Z","board_verified":true,"closed_at":null,"days_open":18,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":18},"description":"AI Solution ArchitectThe Opportunity:\nOrganizations 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.\nAs 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.\nWith 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.\nJoin us. The world can’t wait.\nYou Have:\nExperience architecting and delivering enterprise AI, cloud, and platform solutions for government or regulated environments\nExperience designing and delivering production-grade AI systems using agentic frameworks such as LangChain, LangGraph, AWS Bedrock Agents, or CrewAI\nExperience architecting highly available, scalable, and resilient cloud environments using platforms such as AWS services or Kubernetes\nExperience implementing DevSecOps, CI/CD, and Infrastructure-as-Code capabilities using tools such as GitHub Actions, Terraform, Helm, or CloudFormation\nExperience programming in Python and at least one additional language, including TypeScript, JavaScript, Java, or Go\nExperience leading or co-architecting research, development, or prototyping initiatives in ambiguous environments and moving concepts into working systems\nKnowledge of federal, Department of Defense, or government programs, including IL4, IL5, FedRAMP, or AWS GovCloud\nAbility to obtain a Secret clearance\nBachelor’s degree in Computer Science, Engineering, or Information Technology\nNice If You Have:\nExperience with NVIDIA NeMo, NeMo-RL, Megatron-LM, or similar large-scale model training frameworks\nExperience with NVIDIA platform technologies, including NIM, TensorRT-LLM, or Triton Inference Server\nExperience with specification-driven development workflows or AI-native software development lifecycle practices\nExperience using Cursor, Claude Code, GitHub Copilot, or similar AI-enabled engineering tools\nExperience implementing GitOps and declarative infrastructure patterns using Argo CD or similar technologies\nExperience developing internal platform tools or developer portals, including Backstage or similar platforms\nExperience working in multi-cloud or hybrid cloud environments\nKnowledge of GPU cluster management, distributed training strategies, or machine learning infrastructure at scale\nKnowledge of emerging AI protocols, including Model Context Protocol, Agent-to-Agent, or similar agentic communication standards\nAbility to provide technical guidance, mentor architects and engineers, or lead architecture and platform engineering teams\nClearance:\nApplicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.\nCompensation\nAt 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 programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.\nSalary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.Identity Statement\nAs part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.\nCandidate AI Usage Policy\nAI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.\nWork Model\nOur people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.\nRemote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.\nHybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.\nOnsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.\nCommitment to Non-Discrimination\nAll qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international 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