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# Ai/Ml Engineer

- **Company:** Booz Allen Hamilton Inc.
- **Location:** Hampton, VA, United States
- **Experience:** Experienced
- **Salary:** $77,500 - $176,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, Decision Support Systems, DevOps, Python (Programming Language), Unix Shell, Machine Learning, Open Source Technology, Zero Trust Network Access, Software Engineering, Systems Integration, Scripting, Google Cloud, SC Clearance, Containerization, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Data Management, Machine Learning Operations, Devsecops, Docker, Jenkins, Vulnerability Analysis
- **Published:** November 10, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-ml-engineer-hampton-va--ed5844dc-ced4-4fe7-9c8b-2c6c8b5c98b8

## About the Role

Artificial Intelligence (AI), DevOps, Artificial Intelligence (AI), Data Modeling, Operational Improvement, Data Management, Decision Support, Productivity Management, Automation, Software Engineering, As an experienced engineer, you know that building reliable and scalable AI systems requires strong software engineering practices, automation, and seamless integration across complex, secure environments. Your ability to design and maintain robust AI/ML pipelines, automate workflows, and integrate AI capabilities into production systems makes you an essential part of delivering resilient, mission-focused solutions. We need your technical expertise and problem-solving mindset to support the development and operationalization of AI capabilities that directly enhance mission resilience, performance, and decision-making., * 3+ years of experience in the development of tools and processes to drive DevOps or DevSecOps maturity by automating builds, testing, monitoring, and pushing releases across environments

 * 3+ years of experience with scripting languages such as Python or Linux Shell Script and configuration management tools
 * 3+ years of experience automating infrastructure provisioning, in the creation, and improvement of continuous automation across multiple technical stacks
 * 3+ years of experience with troubleshooting, triaging, and resolving issues with CI/CD pipeline failures or slowness, built using Kubernetes, Docker, or Jenkins
 * 3+ years of experience with AI/ML capabilities applied to policy controlled, workload management and orchestration including Zero Trust Containerized applications and data
 * 3+ years of experience with troubleshooting, triaging, and resolving issues related to both open source and commercial tools in public cloud environments
 * Experience with artificial intelligence and machine learning frameworks for monitoring and optimization and containerization and container orchestration platforms and tools
 * Experience adding testing and security scans to pipelines
 * Secret clearance
 * Bachelor's degree

Nice If You Have:

 * Experience with cloud platforms like AWS, Azure, or Google Cloud Platform
 * Experience integrating AI systems architecture, AI platforms, or ML flow
 * TS/SCI clearance
 * ML, DevOps, or solution architecture Certification