Artificial Intelligence Software Engineer

Booz Allen Hamilton • Aurora, CO

1d • $55,200 - $126,000

About The Position

Booz Allen is seeking an Artificial Intelligence Software Engineer to develop user-focused AI and machine learning solutions that improve organizational efficiency and decision-making and help address the nation’s toughest problems. The engineer will create and implement end-to-end solutions that modernize AI-driven digital engineering capabilities, accounting for the broader ecosystem, operating environment, and future functionality. The role applies advanced principles, theories, and concepts to deliver innovative solutions and offers opportunities to build skills in LLM frameworks, DevSecOps, and full-stack development.

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. The role requires the ability to obtain a Secret clearance. The position’s projected annual compensation range is $55,200 to $126,000 USD. Booz Allen describes its work model options as remote, hybrid, or onsite, but this posting does not specify which applies to this position.

Requirements

• Experience designing, modifying, developing, writing, and implementing software programming applications using methods such as Agile.
• Experience working with full-stack LLM solutions.
• 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 DevSecOps tools such as GitHub Actions for building and managing CI/CD pipelines.
• Ability to obtain a Secret clearance.
• Bachelor's degree.

Nice To Haves

• Experience implementing and utilizing Model Context Protocol (MCP) in software or digital engineering projects to enable model interoperability and context management.
• Experience performing systems engineering analysis and developing systems engineering products for government or mission-critical systems, including the DoW.
• Experience with Model-Based Systems Engineering (MBSE) development 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 LLM inference engines such as vLLM and llama.cpp.
• Master's degree.
• Industry certifications such as OCSMP, ASEP, GCP, Azure, AWS, and Security+.

Responsibilities

• Design, modify, develop, write, and implement software programming applications using methods such as Agile.
• Create and implement end-to-end AI and machine learning solutions that modernize AI-driven digital engineering capability.
• Ensure solutions account for the broader ecosystem and operating environment, as well as future functionality and enhancements.
• Apply leading-edge principles, theories, and concepts to develop innovative solutions.

Benefits

• Health, life, and disability benefits.
• Financial and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards program for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time