AI/ML Researcher Jobs in Arlington, VA

AI and ML Engineer

The Opportunity:

Ever-expanding technology like machine learning (ML) and artificial intelligence (AI) means that there’s more structured and unstructured data available today than ever before. As an AI/ML engineer, you know that organizing data and architecting intelligent models can yield pivotal insights when gathered from disparate sources. We need a technically skilled AI/ML engineer like you to help our customer build intelligent systems and find answers in their data to impact important missions, from enterprise network operations to securing the homeland.

As an AI/ML engineer at Booz Allen, you’ll help build advanced technology solutions and implement ML activities on some of the most mission-driven projects in the industry. You possess a high degree of self-agency, thriving in environments where you are trusted to "figure things out" with a high degree of autonomy. You’ll bring a scrappy, technically curious approach as you code, deploy, and develop AI/ML pipelines, models, and applications that organize and make disparate data meaningful.

Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You are eager to learn and will use your hands-on coding expertise in analytical exploration, model development, and data examination while you manage the assessment, design, building, and maintenance of scalable AI/ML applications and solutions.

Work with us to solve real-world challenges for the Army.

Join us. The world can’t wait.

You Have:

• 8+ years of experience architecting and delivering AI-enabled mission or enterprise systems, including data integration, secure compute, and user-facing applications across restricted or classified environments
• 8+ years of experience designing and implementing data pipelines, ontologies, and application workflows on platforms such as Palantir Foundry or Gotham, including air gapped, degraded connectivity, or multiclassification deployments
• 8+ years of experience building secure analytics ecosystems, including log pipelines, monitoring frameworks, or network operational dashboards, whether greenfield or migrated from legacy tooling
• 8+ years of experience with DevSecOps practices such as containerization, orchestration, CI/CD, and automated testing adapted for limited toolchain environments where standard pipelines don’t fully apply
• 8+ years of experience integrating AI/ML capabilities into production workflows or operator tooling, including LLM-backed assistants, model augmented decision aids, or automation that expands what a small team can deliver
• 8+ years of experience making sound architectural tradeoffs in constrained, shifting, or high-pressure mission conditions such as restricted toolsets, tight timelines, fragmented networks, or mid-execution requirement changes
• Ability to quickly learn unfamiliar technologies, develop real hands-on mastery, and lead engineers through full implementation with confidence
• Ability to architect under ambiguity, own outcomes end-to-end, and communicate decisions clearly to engineers, government stakeholders, and senior non-technical leaders
• TS/SCI clearance
• Bachelor’s degree

Nice If You Have:

• Experience working across multiple clouds, enclaves, or classification levels on the same program, including translating architectures between NIPR, SIPR, JWICS, or local, state, or federal equivalents
• Experience on major defense programs or with large systems integrators, delivering mission capability while navigating bureaucratic, acquisition, or compliance friction
• Experience supporting DoD installations, operational units, or C2 systems especially when the inherited environment was undocumented, partially broken, or technically inconsistent
• Experience building agentic workflows, automation pipelines, or custom tooling that materially increased engineering throughput or reduced operator friction
• Experience in a senior technical lead or architect role where you were accountable for both the design and successful delivery of the system
• Master’s degree
• AWS, Palantir Foundry or Gotham, Kubernetes, or similar Architecture Certifications

Clearance:

Applicants 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.

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 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 $128,700.00 to $292,000.00 (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

As 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 Policy

AI 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 Model
Our 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-Discrimination

All 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.