About the job
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.
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.
Qualifications
Minimum
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
Preferred
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