Artificial Intelligence Engineer
About The Position
As an experienced engineer, you know that machine learning (ML) 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 the Air Force. As an ML engineer on our defensive and offensive cyberspace operations teams, you’ll train, test, deploy, and maintain models that learn from data. In this role, you’ll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You’ll be part of a talented team of ML engineers across the company and collaborate with data scientists, data engineers, solutions architects, and developers to deliver world class solutions. As an AI Engineer on our team, you’ll develop AI-native solutions incorporating multiple disciplines spanning across software development, platform integration, and cloud engineering, and the latest AI tooling such as Bedrock or LLM, LangChain or LangGraph, Agentic workflows, and accelerate missions with AI tools. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. Work with us to solve real-world challenges and define ML strategy for defensive and offensive cyberspace operations.
Requirements
- 2+ years of experience in ML, data science, data engineering, or software development
- Experience with integration of LLMs or Agentic workflows within software stacks
- Experience with the Agile software development lifecycle and full-stack web application development
- Knowledge of JavaScript or TypeScript, Python, and HTML or CSS
- Ability to solve complex and critical problems, iterate rapidly, and deliver results in both team and individual capacities
- Ability to travel up to 25% of the time
- Secret clearance
- Bachelor's degree in CS or a Science or Mathematics field
Nice To Haves
- Knowledge of AWS, Azure, GCP, Databricks, and Palantir Foundry
- Top Secret clearance
- DoD 8570 Level II Certification
Responsibilities
- Train, test, deploy, and maintain models that learn from data.
- Own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies.
- Collaborate with data scientists, data engineers, solutions architects, and developers to deliver world-class solutions.
- Develop AI-native solutions incorporating multiple disciplines spanning across software development, platform integration, and cloud engineering.
- Utilize the latest AI tooling such as Bedrock or LLM, LangChain or LangGraph, Agentic workflows.
- Accelerate missions with AI tools.
- Guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.
- Solve real-world challenges and define ML strategy for defensive and offensive cyberspace operations.
Benefits
- Health, life, disability, financial, and retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards program
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What This Job Offers
Job Type
Full-time
Career Level
Senior
