Job Description

Remote Work:
Hybrid
Job Number:
R0230096
Location:
Springfield,VA,US
AI Engineer

The Opportunity: 

As an experienced engineer, you know that machine learning 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 a program where you’ll train, test, deploy, and maintain models that learn from data.   

In this role, you’ll lead the direction of mission-critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies. You’ll share your knowledge with a large community of machine learning engineers across the company and collaborate with a team of engineers to deliver world-class solutions. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.

Join us. The world can’t wait. 

You Have:  

  • 4+ years of experience with AI and ML, including the development of prototypes

  • Experience with generative AI, including LLMs, Fine-Tuning, or RAG implementation

  • Experience using data processing tools, including Azure Intelligent Data Processor (IDP), Azure Functions, Managed Cloud DB​, or Azure Data Factory​

  • Experience with Azure AI search

  • Experience with front end tools, including React, Azure Static Web Apps, or Azure API Management​

  • Experience with LLMs or embedding models, including Azure Open AI​ or Azure OpenAI Embeddings

  • Experience working with Agile methodologies 

  • Knowledge of modern software design patterns, including microservice design or Edge computing 

  • DHS Suitability

  • 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 LangChain or LlamaIndex

  • 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 such as Docker

  • Experience with Python

 
Vetting: 

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client; DHS suitability 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 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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