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AI/ML Engineer

Booz Allen Hamilton

AI/ML Engineer

full-timePosted: Aug 28, 2026Updated: Sep 2, 2026OH, Dayton

Job Description

AI/ML EngineerThe Opportunity: As an experienced engineer, you know that building reliable and scalable AI systems requires far more than just model development—it demands strong software engineering practices, automation, and seamless integration across complex environments. Your ability to design and maintain robust AI and ML pipelines, automate workflows, and integrate AI capabilities into production systems makes you an essential part of delivering resilient, mission-focused solutions. We need your technical expertise and problem‑solving mindset to support the development and operationalization of AI capabilities that directly enhance mission performance and decision‑making. As an AI and ML engineer on our national security team, you’ll build, test, deploy, and operate software end‑to‑end AI pipelines that keep mission systems running securely and efficiently. Join us. The world can’t wait. You Have: Experience with data science, ML engineering, software engineering, data research, or data analytics Experience building and deploying AI and ML solutions into production Experience implementing document RAG and Graph RAG solutions Experience building applications leveraging LLMs for automation tasks such as text summarization or customized reports, including with multi-agent solutions Experience adapting and fine-tuning open-source models Experience with object-oriented Python programming and best practices Experience with containerization technology such as Docker, Helm, or Kubernetes Ability to create solutions within a collaborative, cross-functional team environment Ability to obtain a TS/SCI clearanceBachelor's degree and 3+ years of experience with AI and ML, or 6+ years of experience with AI and ML in lieu of a degreeNice If You Have: Experience with databases such as Qdrant, Milvus, or Elasticsearch Experience with Elasticsearch index Experience with relational databases such as Postgres Experience with on-prem compute TS/SCI clearanceClearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.CompensationAt 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.Salary 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 StatementAs 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.Candidate AI Usage PolicyAI 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. Work ModelOur people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.Remote: 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.Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.Commitment to Non-DiscriminationAll 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 law.

Locations

  • OH, Dayton

Skills Required

  • data scienceintermediate
  • and deploying AIintermediate
  • object-oriented Python programmingintermediate
  • containerization technology such as Dockerintermediate
  • databases such as Qdrantintermediate
  • Elasticsearch indexintermediate
  • relational databases such as Postgresintermediate
  • on-prem computeintermediate

Required Qualifications

  • Experience with data science, ML engineering, software engineering, data research, or data analytics (experience)
  • Experience building and deploying AI and ML solutions into production (experience)
  • Experience implementing document RAG and Graph RAG solutions (experience)
  • Experience building applications leveraging LLMs for automation tasks such as text summarization or customized reports, including with multi-agent solutions (experience)
  • Experience adapting and fine-tuning open-source models (experience)
  • Experience with object-oriented Python programming and best practices (experience)
  • Experience with containerization technology such as Docker, Helm, or Kubernetes (experience)
  • Ability to create solutions within a collaborative, cross-functional team environment (experience)
  • Ability to obtain a TS/SCI clearance (experience)
  • Bachelor's degree and 3+ years of experience with AI and ML, or 6+ years of experience with AI and ML in lieu of a degree (experience, 3 years)
  • Experience with data science, ML engineering, software engineering, data research, or data analytics (experience)
  • Experience building and deploying AI and ML solutions into production (experience)
  • Experience implementing document RAG and Graph RAG solutions (experience)
  • Experience building applications leveraging LLMs for automation tasks such as text summarization or customized reports, including with multi-agent solutions (experience)
  • Experience adapting and fine-tuning open-source models (experience)
  • Experience with object-oriented Python programming and best practices (experience)
  • Experience with containerization technology such as Docker, Helm, or Kubernetes (experience)
  • Ability to create solutions within a collaborative, cross-functional team environment (experience)
  • Ability to obtain a TS/SCI clearance (experience)
  • Bachelor's degree and 3+ years of experience with AI and ML, or 6+ years of experience with AI and ML in lieu of a degree (experience, 3 years)
  • Experience with databases such as Qdrant, Milvus, or Elasticsearch (experience)
  • Experience with Elasticsearch index (experience)
  • Experience with relational databases such as Postgres (experience)
  • Experience with on-prem compute (experience)
  • TS/SCI clearance (experience)
  • Experience with databases such as Qdrant, Milvus, or Elasticsearch (experience)
  • Experience with Elasticsearch index (experience)
  • Experience with relational databases such as Postgres (experience)
  • Experience with on-prem compute (experience)
  • TS/SCI clearance (experience)

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