{"id":1544460,"url":"https://alion.io/job/booz-allen-hamilton-aiml-engineer-mid-3","title":"AI/ML Engineer, 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":84,"open_postings":167,"ghost_share":0,"stale_share":0.623,"repost_share":0.03,"time_to_fill_p50_days":30,"computed_at":"2026-11-02T06:13:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dayton, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":99000,"max":225000,"currency":"USD","period":"year","gross":null,"usd_annual":225000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"GitLab","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Podman","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Rust","optional":false},{"name":"Scala","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CUDA","optional":true},{"name":"GCP","optional":true},{"name":"Hallucination","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-09-30T21:56:03Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-11-03T04:30:45Z","board_verified":true,"closed_at":null,"days_open":33,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":33},"description":"AI/ML Engineer, MidThe Opportunity:\nAs a Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will design, build, and deploy advanced AI/ML solutions that modernize mission systems and accelerate decision-making across the national security ecosystem. You will contribute end-to-end, spanning data processing, model development, MLOps, and integration of scalable AI capabilities into operational environments.\nYour work will leverage deep experience with ML-based NLP, LLMs and generative AI, computer vision, and modern software engineering practices, consistent with the company’s AI/ML engineering role definitions. You will partner closely with cross-functional engineering, mission SMEs, and product teams to deliver production-grade systems aligned with Booz Allen’s AI modernization approaches.\nWhat You'll Work On:\nDesign, develop, and implement AI/ML models, including NLP, LLM-based pipelines, deep learning architectures, and computer vision models, aligned to mission requirements.\nBuild and optimize scalable data pipelines to support training, evaluation, and continuous improvement of models.\nDevelop end-to-end production systems, including microservices, APIs, automation frameworks, and cloud-native or edge-deployed AI services.\nIntegrate AI/ML capabilities into operational environments with attention to security, reliability, observability, and performance.\nConduct model optimization, tuning, versioning, and AB testing to ensure robust mission impact.\nApply modern software engineering patterns, including Python, Java, Scala, and Rust, microservices, and distributed systems, as consistent with Booz Allen’s AI/ML engineering frameworks.\nCollaborate with multi-disciplinary teams to identify mission needs, gather requirements, and define technical approaches.\nPrepare technical documentation, contribute to design reviews, and support customer-driven requirements.\nJoin us. The world can’t wait.\nYou Have:\n2+ years of experience developing ML models such as NLP or LLM, CV, deep learning, generative AI, or reinforcement learning\nExperience developing AI/ML capabilities to operate in a microservice stack\nExperience developing or maintaining production-grade APIs, microservices, or distributed systems\nExperience with data processing frameworks and scientific computing libraries such as NumPy, Pandas, PyTorch, TensorFlow, or scikit-learn\nExperience designing, configuring, or deploying software systems in operational environments\nExperience with CI/CD tooling, source control such as GitLab, and containerization technologies such as Docker, Podman, or Kubernetes\nActive TS/SCI clearance; willingness to take a polygraph exam \nBachelor's degree\nNice If You Have:\nExperience in GPU programming, including CUDA or RAPIDs\nExperience with AWS and containerization of models in a classified environment \nExperience with LLM orchestration, RAG pipelines, grounding, or hallucination-mitigation workflows\nExperience with MLOps platforms, distributed training, or hybrid cloud environments such as AWS, Azure, and GCP\nExperience with automated testing tools and model evaluation frameworks\nMaster’s degree in CS, AI Engineering, ML Engineering, Data Science, or a STEM field\nAI/ML, Cloud, or Solution Architecture Industry Certifications\nClearance:\nApplicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.\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 $99,000.00 to $225,000.00 (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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