{"id":4034372,"url":"https://alion.io/job/booz-allen-hamilton-ai-full-stack-developer-mid","title":"AI Full Stack Developer, Mid","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":"B","score":81,"open_postings":262,"ghost_share":0.015,"stale_share":0.687,"repost_share":0.046,"time_to_fill_p50_days":30,"computed_at":"2026-11-10T06:52:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","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":69400,"max":158000,"currency":"USD","period":"year","gross":null,"usd_annual":158000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Angular","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"CrewAI","optional":false},{"name":"FastAPI","optional":false},{"name":"Feature Store","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"GraphQL","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"JavaScript","optional":false},{"name":"LangChain","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenCV","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"TypeScript","optional":false},{"name":"Vue.js","optional":false},{"name":"Docker","optional":true},{"name":"FAISS","optional":true},{"name":"Kubernetes","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"Pinecone","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-11-10T19:39:06Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T19:39:06Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"AI Full Stack Developer, MidThe Opportunity:\nAs an AI Full Stack Developer, you’ll help design, develop, and deploy enterprise AI/ML solutions across the full application stack. You’ll work with data scientists, software engineers, DevOps teams, and stakeholders to build user-facing applications, productionize machine learning models, optimize pipelines, and implement responsible AI practices.\nThis is an opportunity to develop scalable AI/ML applications using modern frontend, backend, cloud, data, and machine learning technologies. You’ll contribute to secure, compliant, and maintainable solutions that support experimentation, model deployment, monitoring, and enterprise operations. Due to the nature of work performed within this facility, U.S. citizenship is required.\nWhat You’ll Work On:\nDesign, develop, test, and maintain full-stack AI/ML applications and services.\nBuild frontend interfaces and user workflows for interacting with AI/ML capabilities.\nDevelop backend services, APIs, and integrations using Python and frameworks such as FastAPI, Flask, or similar technologies.\nBuild and manage AI/ML pipelines for experimentation, training, evaluation, and deployment.\nOperationalize machine learning models in production environments, including containers, APIs, and cloud services.\nSupport the development of a Model Control Plane (MCP) for model registry, deployment, versioning, and monitoring.\nIntegrate applications with relational databases, vector databases, feature stores, and distributed caching services.\nImplement authentication, authorization, secure API practices, and data protection safeguards.\nDevelop automated tests across frontend, backend, API, data pipeline, and ML components.\nApply responsible AI principles, including human-in-the-loop workflows, content moderation, explainability, and data privacy safeguards.\nCollaborate cross-functionally to ensure secure, compliant, maintainable, and scalable AI/ML deployments.\nJoin us. The world can’t wait.\nYou Have:\n6+ years of experience in full-stack software development\n3+ years of experience with AI/ML engineering\nExperience in Python and developing backend services, APIs, or data-processing applications leveraging Java\nExperience with front end development using JavaScript or TypeScript and frameworks such as React, Angular, or Vue\nExperience designing and integrating REST or GraphQL APIs, microservices, and enterprise application integration\nExperience with machine learning frameworks such as TensorFlow, PyTorch, LangChain, OpenCV, OpenAI, AutoGen, CrewAI, or Scikit-learn\nExperience with cloud platforms such as AWS, Azure, or GCP and CI/CD and MLOps practices\nExperience working with relational databases and with NoSQL, vector database, or caching technologies\nPublic Trust\nBachelor’s degree in a Computer Science field\nNice If You Have:\nExperience with feature stores, model registries, or model-serving platforms\nExperience with containerization and orchestration technologies such as Docker and Kubernetes\nExperience with cloud-native application development and distributed systems\nExperience implementing OpenTelemetry or similar observability solutions\nExperience working in federal or other highly regulated environments\nKnowledge of vector databases such as Pinecone, Weaviate, FAISS, or similar technologies\nKnowledge of responsible AI frameworks, ethics, security, privacy, and compliance\nAbility to explore and learn new technologies\nPossession of excellent collaboration and problem-solving skills\nVetting:\nApplicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client; Public Trust determination is required.\n\nSkills Assessment\nAs part of Booz Allen’s skills first hiring process, candidates must complete the required skills assessment to ensure they meet the Basic Qualifications for this role. Candidates must complete the assessment and meet the minimum proficiency threshold to continue in the hiring process.\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 $69,400.00 to $158,000.00 (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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