Booz Allen
AIEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“AI Engineer at Booz Allen. Skills: Machine learning engineering, AI solutions, LLMs, RAG pipelines. Architect intelligent solutions. Build intelligent solutions”
Industry & Context.
Problem-solve
Obtain Secret clearance, On camera during interviews
What They're Looking For.
Must Have
2+ years machine learning engineering, Experience building AI-enabled features, Experience with basic prompt engineering, Experience with application containerization, Experience with CI/CD deployments, Experience with Python, Experience with cloud platforms, Experience with AWS AI services, Experience with Azure AI services, Experience with GCP AI services, Experience with vector database, Experience with search framework, Experience developing backend services, Experience building RESTful APIs, Experience consuming RESTful APIs, Ability to follow code review practices, Ability to document work, Ability to maintain clean code, Ability to maintain reusable code, Ability to obtain Secret clearance, Bachelor's degree
Nice to Have
Experience with AI-assisted development, Experience with AI agent frameworks, Experience with open-source AI projects, Experience with personal generative AI projects, Master's degree in Computer Science, Master's degree in Engineering
What You'll Do.
Architect intelligent solutions
Build intelligent solutions
Deploy intelligent solutions
Apply ML technologies
Contribute to ML strategy
Solve real-world challenges
How You'll Work.
Team & Collaboration
Talented team of engineers; Senior architects; Platform leads; Business stakeholders
Full Job Description
AI Engineer **The Opportunity:** As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct 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 to help architect, build, and deploy intelligent, agentic solutions that work across legacy infrastructure, modern platforms, and various stakeholder needs. As a machine learning engineer on our Global Defense team, you’ll train, test, deploy, and maintain models that learn from data. In this role, you’ll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You’ll grow within a talented team of machine learning engineers across the company and collaborate with senior architects, platform leads, and business stakeholders to deliver world-class solutions to solve meaningful problems across enterprise and mission environments. You’ll gain exposure to next-generation tooling, including LLMs, RAG pipelines, and AI agents, while contributing to high-impact efforts that demand both technical skill and strategic insight. Your skills and technical experience will help your clients navigate the landscape of ML algorithms, tools, and frameworks. Work with us to solve real-world challenges and define ML strategy for Global Defense. Join us. The world can’t wait. **You Have:** * 2+ years of experience with machine learning engineering in software engineering or data engineering roles * Experience building AI-enabled features or prototypes using LLMs, embeddings, or 3rd party APIs including OpenAI or Anthropic * Experience with basic prompt engineering concepts and use of LLM SDKs or frameworks including LangChain or LlamaIndex * Experience with application containerization, CI/CD deployments, and Python * Experience with cloud platforms including AWS, Azure
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