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Applied AI Engineer

Booz Allen Hamilton

McLean, VAFull-time$78–176K/yrPosted 1w agoStill listed today

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At a glance

Compensation
$78–176K/yr
Location
McLean, VA
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Secret clearance, requiredBachelor's degree, required

Job overview

The Applied AI Engineer will train, test, deploy, and maintain models that learn from data, and define critical solutions using suitable machine-learning algorithms and technologies. The role supports enterprise-wide application and data capabilities for national security customers, collaborating with data engineers, data scientists, solutions architects, and MLOps engineers to deliver AI solutions at scale.

Skills & qualifications

RequiredNice to have

Skills

Software Engineering, requiredApplied AI, requiredMachine Learning, requiredFull-Stack Development, requiredAI Integrations, requiredAI Prototyping, requiredAI Solution Development, requiredAI Output Evaluation, requiredPrompt Refinement, requiredRetrieval Optimization, requiredCustom Heuristics, requiredPython, requiredAPI Development, requiredFastAPI, requiredFlask, requiredStreamlit, requiredGradio, requiredStakeholder Collaboration, requiredMission Needs Translation, requiredDomain Adaptability, requiredHuman-in-the-Loop Evaluation, nice to haveAI Red Teaming, nice to haveConversational Interface Safety, nice to haveHallucination Mitigation, nice to haveFront-End Development, nice to haveReact, nice to haveTypeScript, nice to haveAnalytical Dashboards, nice to haveUser Interaction Tracking, nice to haveModel Performance Tracking, nice to haveConversational AI UX, nice to haveGenerative Interface UX, nice to have

Qualifications

Secret Clearance Eligibility, requiredBachelor's Degree, requiredSecret Clearance, nice to haveSecurity+ Certification, nice to have

Benefits

Medical Insurance
401(k) Match
Paid Time Off
Tuition Assistance

Full job description

Applied AI EngineerThe Opportunity: As an experienced engineer, you know that artificial intelligence is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support an enterprise-wide application and data capability. As an artificial intelligence engineer on our national security team, you’ll train, test, deploy, and maintain models that learn from data.

In this role, you’ll own and define the direction of critical solutions by applying best-fit ML algorithms and technologies. You’ll be part of a large community of artificial intelligence engineers across the company and collaborate with data engineers, data scientists, solutions architects, and MLOps engineers to deliver world-class solutions, including processing data and information at a massive scale. Your skills and extensive technical expertise will guide clients as they navigate the landscape of AI and ML algorithms, tools, and frameworks.

Work with us to solve real-world challenges and define AI strategy for our national security-related customers.

Join us. The world can’t wait.

You Have:

  • Experience with software engineering, applied AI and ML, or full-stack development, including AI integrations
  • Experience rapidly prototyping, developing, and iterating on use-case-specific AI solutions such as chat systems, user-facing applications, and domain-specific copilots
  • Experience conducting comprehensive evaluation and tuning of AI outputs, including refining prompts, optimizing retrieval logic, and implementing custom heuristics
  • Experience with Python and building API endpoints such as FastAPI or Flask or rapid UI frameworks such as Streamlit or Gradio to demonstrate AI capabilities
  • Ability to work closely with Mission Integration teams and product stakeholders to translate mission needs into refined, business-facing AI capabilities
  • Ability to pivot quickly between different domains and use cases, adapting AI solutions to various operational requirements
  • Ability to obtain a Secret clearance
  • Bachelor's degree

Nice If You Have:

  • Experience with human-in-the-loop (HITL) evaluation, AI red teaming, or assessing conversational interfaces for safety and hallucination mitigation
  • Experience with front-end development technologies such as React or TypeScript to support end-to-end user-facing product delivery
  • Experience deploying and managing analytical dashboards or mechanisms to track user interactions and model performance
  • Experience with user experience (UX) best practices specifically tailored to conversational AI and generative interfaces
  • ​Secret clearance
  • Security+ Certification

Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

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 $77,600.00 to $176,000.00 (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. 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 or customer facility, in alignment with your leadership's expectations and the needs of the role.
  • Onsite: 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.

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.

How this job compares

Set against the 6,294 open Machine Learning Engineer jobs on Olive Jobs, counted November 10, 2026.

Pay
  • This posting$78–176K/yr
  • Virginia median$143–219K/yr227 salary ranges
  • US median$150–246K/yr5,154 salary ranges

This range's midpoint, $127K, is 30% below the Virginia median midpoint ($181K) — in the lowest quarter of Machine Learning Engineer salary ranges in Virginia.

Openings
Olive Jobs lists 263 open Machine Learning Engineer jobs in Virginia and 6,294 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in Virginia
Experience
Machine Learning Engineer postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 7 years (5,032 postings).
Education
This posting asks for a bachelor's degree; 2,031 of the 6,294 open Machine Learning Engineer jobs (32%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 10, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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