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JobsBooz Allen Hamilton

AI Solutions Engineer

Booz Allen Hamilton

AI Solutions Engineer

Booz Allen Hamilton

Washington, DC

·

On-site

·

Full-time

·

2w ago

Compensation

$77,600 - $176,000

Benefits & Perks

Healthcare

Life Insurance

Disability Insurance

401(k)

Paid Leave

Learning Budget

Tuition Assistance

Dependent Care

Healthcare

401k

Learning

Required Skills

Machine Learning

LLM

Prompt Engineering

Backend Development

REST APIs

AI Solutions Engineer:

The Opportunity:

AI is no longer just a research concept – it’s becoming an essential part of how complex enterprises operate, compete, and deliver value. We’re looking for engineers who are eager to work at the intersection of AI innovation and real-world system integration. You’ll help architect, build, and deploy intelligent, agentic solutions that work across legacy infrastructure, modern platforms, and various stakeholder needs.

In this role, you’ll work closely with senior architects, platform leads, and business stakeholders to design AI-enabled systems that solve meaningful problems across enterprise and mission environments. You’ll gain exposure to next-generation tooling, including LLMs, RAG pipelines, and AI agents, while contributing to high-impact efforts that demand both technical skill and strategic insight. If you’re excited by the idea of turning cutting-edge models into operational reality, this is the opportunity for you.

Join us. The world can’t wait.

You Have:

  • 2 years of experience with machine learning engineering in software engineering or data engineering roles

  • Experience building AI-enabled features or prototypes using LLMs, embeddings, or 3rd party APIs including Open

AI or Anthropic:

  • Experience with basic prompt engineering concepts and use of LLM SDKs or frameworks including Lang Chain or Llama Index

  • Experience with a vector database or search framework including Pinecone, Weaviate, or FAISS

  • Experience developing backend services and building or consuming RESTful APIs

  • Ability to follow code review practices, document work, and maintain clean and reusable code

  • Ability to obtain a Secret clearance

  • Bachelor’s degree

Nice If You Have:

  • Experience with AI-assisted development such as Cursor, Windsurf, or Claude Code

  • Experience with AI agent frameworks including Lang Chain or Llama Index

  • Experience with cloud platforms including AWS, Azure, or GCP and their AI or ML services

  • Experience with open-source AI projects or personal projects involving generative AI

  • Experience with Git, CI/CD workflows, or containerization tools like Docker

  • Experience with Python

  • Bachelor's degree in Computer Science, Engineering, or related field preferred; Master's degree a plus

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 application process, 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.

Work Model

Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

  • If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
  • If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific 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.

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About Booz Allen Hamilton

Booz Allen Hamilton

Specializing in digital transformation and artificial intelligence.

10,001+

Employees

McLean

Headquarters

Reviews

3.5

5 reviews

Work Life Balance

2.5

Compensation

3.0

Culture

2.8

Career

2.5

Management

2.0

35%

Recommend to a Friend

Pros

Great reputation in federal sector

Hybrid work options available

Established teams and processes

Cons

Poor hiring and recruitment process

Job security concerns with contract-based work

Work-life balance issues

Salary Ranges

34 data points

Junior/L3

L2

L3

L4

L5

L6

Mid/L4

Senior/L5

Junior/L3 · Data Engineer

1 reports

$149,500

total / year

Base

$115,000

Stock

-

Bonus

-

$149,500

$149,500

Interview Experience

7 interviews

Difficulty

2.7

/ 5

Duration

21-35 weeks

Offer Rate

43%

Experience

Positive 29%

Neutral 28%

Negative 43%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Hiring Manager Interview

5

Team Interview

6

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Past Experience

System Design

Culture Fit