The Opportunity: 

As an AI software engineer, you know that good software is more than just a nice-looking interface and data. Today, you need to develop user-focused solutions that increase organizational efficiency and enable better decision-making. Booz Allen is the leading provider of AI services to the nation, and we’re looking for a software engineer like you to create AI and machine learning solutions that help solve the nation’s toughest problems.  

On our team, you’ll help create and implement complete end-to-end solutions that modernize AI-driven digital engineering capability. You’ll ensure that your team’s solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. You apply leading-edge principles, theories, and concepts to provide highly innovative solutions. Additionally, you’ll build upon your skillset in areas like LLM frameworks, DevSecOps, and full-stack development.  

Ready to transform systems engineering for the better with AI technology?  

Join us. The world can’t wait.   

You Have:  

• 2+ years of experience designing, modifying, developing, writing, and implementing software programming applications using Agile methods
• 1+ years of experience working with a full-stack LLM solutions, including RAG implementation, model selection or registry management such as Hugging Face, and LLM frameworks such as LangChain and LlamaIndex, and using embedding models and vector databases
• Experience with LLM inference engines such as vLLM and llama.cpp
• Experience with Cursor or AI-assisted coding tools to enhance software or digital engineering development processes
• Experience with full-stack development, including RESTFul APIs, Node.js, JavaScript, and React
• Experience with Agile methodology and DevSecOps tools such as GitHub Actions, to build and manage CI/CD pipelines
• Ability to obtain a Secret clearance
• Bachelor's degree in a STEM field

Nice If You Have:  

• Experience implementing and utilizing Model Context Protocol (MCP) in software or digital engineering projects to enable seamless model interoperability and context management
• Experience performing systems engineering analysis and developing systems engineering products for government or mission critical systems, including NASA or the DoW
• Experience with Model-Based Systems Engineering (MBSE) development, including using digital engineering tools such as Cameo, MagicDraw, SparxEA, DOORS, and IBM Rhapsody
• Experience with MagicDraw plug-in development and Teamwork Cloud (TWC) administration
• Experience with MATLAB, STK, ModelCenter, or TeamCenter
• Experience with cloud computing platforms such as AWS, Azure, or GCP
• Experience with software product testing and QA/QC
• Experience with Linux
• Master's degree in Engineering
• Industry Certifications such as OCSMP, ASEP, GCP, Azure, AWS, and Security+ Certifications

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.

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.