AI Software Engineer

Booz Allen Hamilton•Annapolis Junction, MD

About The Position

AI Software Engineer The Opportunity: As an AI sof tware engineer, you know that good sof tware is more than just a nice-looking interface + 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—we’re looking for a sof tware engineer like you to create artifi cia l intelligence and machine learning solutions that help solve our client's toughest problems. On our team, you’ll create and implement complete end-to-end solutions that modernize client systems. You’ll ensure that your team’s solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you’ll deepen your skill set in areas like workflow automation using AI. Ready to transform analytic and planning systems for the better with AI technology? What You’ll Work On: Use AI to implement automation of client workflows. Design, develop, and modify sof tware systems, using scientific analysis and mathematical models to predict and measure outcome and consequences of design. Develop secure code and error handling. Perform secure programming and identify potential flaws in codes to mitigate vulnerabilities. Ensure that AI design and development activities are properly documented and updated. Assess and address the limitations of met hods to deliver machine learning models. Design and develop machine learning models to achieve organizational objectives. Design, develop, and implement AI tools and techniques to achieve organizational objectives. Determine met hods and met rics for quantitative and qualitative measurement of AI risks so that sensitivity, specificity, likelihood, confidence levels, and other met rics are identified, documented, and applied. Research the latest machine learning and AI tools, techniques, and best practices. Use models and other met hods for evaluating AI performance. Write and document reproducible code. Maintain current knowledge of advancements in DoD AI Ethical Principles and Responsible AI. Join us. The world can’t wait.

Requirements

Experience designing, modifying, developing, writing, and implementing sof tware programming applications using agile met hods
Experience writing applications using Python, C++, Java, or Scala
Experience with cloud platforms such as AWS or Azure and containerization tools such as Docker or Kubernetes
Experience with collaboration and version control using Git, code reviews, branching strategies, and CI / CD pipelines
Experience with prompt engineering and context management
Experience leveraging APIs to interact with AI or ML models and relational and NoSQL databases
Experience with model evaluation frameworks
Knowledge of artifi cia l intelligence machine learning models
TS/SCI clearance with a polygraph
HS diploma or GED and 6+ years of experience with sof tware engineering, or Bachelor’s degree and 4+ years of experience with sof tware engineering

Nice To Haves

Experience with administration of CI / CD pipelines using Kubernetes, Docker, or Jenkins
Experience with extreme programming and DevOps
Experience with web development stacks
Experience with PyTorch, TensorFlow, or Scikit-learn
Experience with Retrieval-Augmented Generation ( RAG )
Experience with graph databases and vector databases
Experience with orchestration platforms such as LangChain, LangGraph, or LlamaIndex
Knowledge of acquiring client requirements and resolving workflow problems through automation optimization
Ability to work with automated testing tools to perform testing and maintenance
ML, AI, or Solution Architecture Certification

Responsibilities

Use AI to implement automation of client workflows.
Design, develop, and modify sof tware systems, using scientific analysis and mathematical models to predict and measure outcome and consequences of design.
Develop secure code and error handling.
Perform secure programming and identify potential flaws in codes to mitigate vulnerabilities.
Ensure that AI design and development activities are properly documented and updated.
Assess and address the limitations of met hods to deliver machine learning models.
Design and develop machine learning models to achieve organizational objectives.
Design, develop, and implement AI tools and techniques to achieve organizational objectives.
Determine met hods and met rics for quantitative and qualitative measurement of AI risks so that sensitivity, specificity, likelihood, confidence levels, and other met rics are identified, documented, and applied.
Research the latest machine learning and AI tools, techniques, and best practices.
Use models and other met hods for evaluating AI performance.
Write and document reproducible code.
Maintain current knowledge of advancements in DoD AI Ethical Principles and Responsible AI.