AI Software Engineer

Booz Allen Hamilton • Annapolis Junction, MD

1d • Hybrid

About The Position

AI Software Engineer The Opportunity: As an AI software engineer, you know that good software 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 software engineer like you to create artificial 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 software 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 methods 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 methods and metrics for quantitative and qualitative measurement of AI risks so that sensitivity, specificity, likelihood, confidence levels, and other metrics are identified, documented, and applied. Research the latest machine learning and AI tools, techniques, and best practices. Use models and other methods 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 software programming applications using agile methods
• 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 artificial intelligence machine learning models
• TS/SCI clearance with a polygraph
• HS diploma or GED and 6+ years of experience with software engineering, or Bachelor’s degree and 4+ years of experience with software 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 software 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 methods 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 methods and metrics for quantitative and qualitative measurement of AI risks so that sensitivity, specificity, likelihood, confidence levels, and other metrics are identified, documented, and applied.
• Research the latest machine learning and AI tools, techniques, and best practices.
• Use models and other methods for evaluating AI performance.
• Write and document reproducible code.
• Maintain current knowledge of advancements in DoD AI Ethical Principles and Responsible AI.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: High school or GED