Booz Allen Hamilton-posted 10 days ago
$99,000 - $225,000/Yr
Full-time • Mid Level
Springfield, VA
1-10 employees

AI Engineer The Opportunity: As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to c ond uct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support a program where you’ll train, test, deploy, and maintain models that learn from data. In this role, you’ll lead the direction of mission-critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies. You’ll share your knowledge with a large community of machine learning engineers across the company and collaborate with a team of engineers to deliver world-class solutions. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. Join us. The world can’t wait.

  • 4+ years of experience with AI and ML, including the development of prototypes
  • Experience with generative AI, including LLMs, Fine-Tuning, or RAG implementation
  • Experience using data processing tools, including Azure Intelligent Data Processor ( IDP ) , Azure Functions, Managed Cloud DB, or Azure Data Factory
  • Experience with Azure AI search
  • Experience with front end tools, including React, Azure Static Web Apps, or Azure API Management
  • Experience with LLMs or embedding models, including Azure Open AI or Azure OpenAI Embeddings
  • Experience working with Agile met hodologies
  • Knowledge of modern sof tware design patterns, including microservice design or Edge computing
  • DHS Suitability
  • Bachelor's degree
  • Experience with AI-assisted development such as Cursor, Windsurf, or Claude Code
  • Experience with AI agent frameworks, including LangChain or LlamaIndex
  • Experience with cloud platforms, including AWS, Azure, or GCP, and their AI or ML services
  • Experience with open-source AI projects or personal projects involving generative AI
  • Experience with Git, CI / CD workflows, or containerization tools such as Docker
  • Experience with Python
  • health
  • life
  • disability
  • financial
  • retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
  • recognition awards program
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