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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.
Job Responsibility:
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
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 have:
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
What we offer:
health, life, disability, financial, and retirement benefits