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# AI/ML Cloud Engineer

- **Company:** Colossus Technologies Group
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Command-Line Interface, Cloud Engineering, Domain Name System (DNS), Linux System Administration, Routing, AI Infrastructure, Computer Networking Systems, Transport Layer Security, Load Balancing, GitHub Copilot, Large Language Models, Claude Code, AI Coding Agents, Agentic-AI, LiteLLM, Terraform, Docker
- **Published:** October 6, 2026
- **Apply:** https://www.thejobnetwork.com/job/f6dc0143-0e7b-42a6-bd44-2733f413ba13/aiml-cloud-engineer-tssci-polygraph-required

## About the Role

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 * Active TS/SCI clearance with Polygraph at the time of hire.
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 * U.S. citizenship and current residence in the DC/Maryland/Virginia area, with the ability to travel to customer sites.
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 * 5+ years of Solutions Engineering, Sales Engineering, Solutions Architecture, Technical Account Management, or customer-facing infrastructure engineering experience.
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 * Experience supporting federal, defense, intelligence-community, or other highly regulated government customers.
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 * Strong Linux administration and command-line experience.
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 * 3+ years of hands-on Docker and Kubernetes experience.
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 * 3+ years of Terraform or comparable infrastructure-as-code experience.
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 * Experience deploying or supporting infrastructure in AWS GovCloud, Azure Government, on-premises, private-cloud, disconnected, or air-gapped environments.
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 * Strong networking knowledge, including proxies, ingress controllers, load balancers, routing, DNS, TLS, identity/access considerations, and network boundaries.
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 * Ability to lead technical discovery, live demos, deployment workshops, architecture reviews, and deep-dive troubleshooting with senior technical and program stakeholders.
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 * Strong communication skills and an ability to translate complex infrastructure challenges into meaningful mission, security, speed, and developer-productivity outcomes.
\n, * Hands-on familiarity with AI coding tools and developer assistants, such as Claude Code, GitHub Copilot, Cursor, or comparable tools.
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 * Understanding of how engineering teams use coding agents and LLM-powered development workflows in practice.
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 * Experience discussing or supporting LLM infrastructure concepts, including model gateways, model proxies, routing layers, API access controls, and tools such as LiteLLM or similar platforms., * Ability to speak credibly about how federal and intelligence customers evaluate, secure, govern, and deploy AI-enabled developer tooling-particularly in classified or isolated environments.