Artificial Intelligence Software Engineer

Artificial Intelligence Software Engineer

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, Dev Sec Ops , 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 methods such as Agile1+ years of experience working with full-stack LLM solutions, including RAG implementation, model selection, registry management, or LLM frameworks such as Lang Chain or Llama Index, or using embedding models or vector databases

Experience with LLM inference engines

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, or React Knowledge of Agile methodology and Dev Sec Ops  tools such as Git Hub Actions, to build and manage CI/CD pipelines

Ability to obtain a Secret clearance Bachelor's degree

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 DoWExperience with Model-Based Systems Engineering (MBSE) development, including using digital engineering tools such as Cameo, Magic Draw, SparxEA, DOORS, and IBM Rhapsody

Experience with Magic Draw plug-in development and Teamwork Cloud (TWC) administration

Experience with MATLAB, STK, Model Center, or Team Center Experience  with cloud computing platforms such as AWS, Azure, or GCPExperience with software product testing and QA/QCExperience with LLM inference engines such as vLLM and llama.cpp Master's degree

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.
Skills Assessment
As part of Booz Allen’s skills first hiring process, candidates must complete the required skills assessment to ensure they meet the Basic Qualifications for this role. Candidates must complete the assessment and meet the minimum proficiency threshold to continue in the hiring process.
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…