Back to jobs

AI/ML Engineer

Pay
USD 99,000–225,000/year — pay source
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 $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
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization
Citizens onlyTop Secret clearance is required

What you’ll work on

Full posting
  • Develop and deploy AI/ML solutions that process data at massive scale

  • Develop innovative solutions to complex problems

  • Mentor team members and may supervise them

From the employer’s posting
Processes data and information at massive scale with artificial intelligence (AI) and machine learning (ML) technologies
Develops innovative solutions to complex problems.
Mentors and may supervise team members.

What you’ll bring

All qualifications

Core experience

  • Top Secret clearance
  • Experience with Python and ML frameworks and libraries
  • Experience with generative AI, LLMs, Azure OpenAI and RAG
  • HS diploma or GED
Qualification wording
Top Secret clearance
Experience with Python, machine learning frameworks and libraries
Experience with Generative AI technologies, including Large Language Models (LLMs), Azure OpenAI, Retrieval-Augmented Generation (RAG)
HS diploma or GED
Apply at Booz Allen Hamilton

Posting record

Report an error

Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 10, 20261 day ago
Recorded sightings
1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Lower than most similar jobs

$99K–$225K against $166K–$240K, the middle half of what similar US postings state.

From 1,383 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 8 and day 75.

At Booz Allen Hamilton, jobs usually come down by about day 34.

From 5,196 similar postings that came down, and 627 of Booz Allen Hamilton’s. Coming down is not always a hire.

Booz Allen Hamilton is hiring

229 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down at a usual pace
  • 12% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • AWS
  • Azure
  • Docker
  • Kubernetes
  • Looker
  • Power BI
  • Redshift
  • Snowflake
  • Spark
  • Tableau
  • Airflow
  • PySpark
Where the posting names them
- 5+ years of experience developing, deploying, and sustaining AI, machine learning, data science, or advanced analytics solutions in production environments - Experience with Python, machine learning frameworks and libraries, and building scalable solutions using supervised and unsupervised ML, deep learning, forecasting, anomaly detection, optimization, or predictive analytics - Experience with Generative AI technologies, including Large Language Models (LLMs), Azure OpenAI, Retrieval-Augmented Generation (RAG), agentic AI frameworks, AI orchestration, and emerging AI capabilities
- Experience integrating AI/ML solutions through APIs, microservices, and containerized architectures using Docker, Kubernetes, or OpenShift - Experience with cloud platforms and enterprise data architectures, including Azure, AWS, data lakes, ETL/ELT pipelines, data quality frameworks, metadata management, lineage, and scalable analytics environments - Knowledge of CI/CD, version control, Infrastructure-as-Code, observability, and deployment automation
Nice If You Have: - Experience with Azure Machine Learning, Azure Functions, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure DevOps, AWS GovCloud, Snowflake, Redshift, Apache Spark, PySpark, or Airflow - Experience supporting DoD, Intelligence Community, aerospace, sustainment, logistics, maintenance, readiness, acquisition, or highly regulated federal environments
- Experience with Python, machine learning frameworks and libraries, and building scalable solutions using supervised and unsupervised ML, deep learning, forecasting, anomaly detection, optimization, or predictive analytics - Experience with Generative AI technologies, including Large Language Models (LLMs), Azure OpenAI, Retrieval-Augmented Generation (RAG), agentic AI frameworks, AI orchestration, and emerging AI capabilities - Experience developing and maintaining production ML capabilities, including model performance monitoring, explainability, validation, drift detection, retraining strategies, model governance, and operational support
- Experience developing and maintaining production ML capabilities, including model performance monitoring, explainability, validation, drift detection, retraining strategies, model governance, and operational support - Experience integrating AI/ML solutions through APIs, microservices, and containerized architectures using Docker, Kubernetes, or OpenShift - Experience with cloud platforms and enterprise data architectures, including Azure, AWS, data lakes, ETL/ELT pipelines, data quality frameworks, metadata management, lineage, and scalable analytics environments
- Experience supporting DoD, Intelligence Community, aerospace, sustainment, logistics, maintenance, readiness, acquisition, or highly regulated federal environments - Experience developing enterprise dashboards and analytical products using Power BI, Tableau, Looker, or similar visualization platforms - Ability to successfully explain AI solutions to a non-technical audience

Your next step

Complete your application on bah.wd1.myworkdayjobs.com. The employer’s form will show what is required.

Applying through Workday

  • You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
  • “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

Has Booz Allen Hamilton posted this job before?

Yes. We’ve followed 4 other AI/ML Engineer jobs there since August 2026. All 4 are still up.

  1. HamptonStill up after 91 days, first seen Aug 12
  2. WashingtonStill up after 75 days, first seen Aug 28
  3. MontereyStill up after 44 days, first seen Sep 28
  4. WashingtonStill up after 4 days, first seen Nov 7
  5. This jobUp 2 days so far, first seen Nov 10

Large employers often post one title for several teams, so these can be separate openings.

About Booz Allen Hamilton

People
About 31,500 in 2026, down 12% from the year before.Annual report (SEC Form 10-K)
Company
Listed as BAH.

Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 13% over the last 6 weeks compared with the 6 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 617, the most 1,122, and the latest week had 1,122.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

AI/ML Engineer

The Opportunity:

Processes data and information at massive scale with artificial intelligence (AI) and machine learning (ML) technologies to include ML-based NLP, Generative AI, Deep Neural Networks, and AI/ML technologies. Applies advanced advisory skills or extensive technical expertise with full industry knowledge. Develops innovative solutions to complex problems. Works without considerable direction. Mentors and may supervise team members.


Join us. The world can't wait.


You Have:

  • 5+ years of experience developing, deploying, and sustaining AI, machine learning, data science, or advanced analytics solutions in production environments
  • Experience with Python, machine learning frameworks and libraries, and building scalable solutions using supervised and unsupervised ML, deep learning, forecasting, anomaly detection, optimization, or predictive analytics
  • Experience with Generative AI technologies, including Large Language Models (LLMs), Azure OpenAI, Retrieval-Augmented Generation (RAG), agentic AI frameworks, AI orchestration, and emerging AI capabilities
  • Experience developing and maintaining production ML capabilities, including model performance monitoring, explainability, validation, drift detection, retraining strategies, model governance, and operational support
  • Experience integrating AI/ML solutions through APIs, microservices, and containerized architectures using Docker, Kubernetes, or OpenShift
  • Experience with cloud platforms and enterprise data architectures, including Azure, AWS, data lakes, ETL/ELT pipelines, data quality frameworks, metadata management, lineage, and scalable analytics environments
  • Knowledge of CI/CD, version control, Infrastructure-as-Code, observability, and deployment automation
  • Top Secret clearance
  • HS diploma or GED

Nice If You Have:

  • Experience with Azure Machine Learning, Azure Functions, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure DevOps, AWS GovCloud, Snowflake, Redshift, Apache Spark, PySpark, or Airflow
  • Experience supporting DoD, Intelligence Community, aerospace, sustainment, logistics, maintenance, readiness, acquisition, or highly regulated federal environments
  • Experience developing enterprise dashboards and analytical products using Power BI, Tableau, Looker, or similar visualization platforms
  • Ability to successfully explain AI solutions to a non-technical audience
  • Possession of strong written, verbal, briefing, technical documentation, and executive communication skills

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret 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 $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

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.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

This passage needs a closer read in the full description.

Location & working pattern

Arlington, VA

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.
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.