AI/ML Cloud Engineer

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• Active TS/SCI clearance with Polygraph at the time of hire. \n

• U.S. citizenship and current residence in the DC/Maryland/Virginia area, with the ability to travel to customer sites. \n

• 5+ years of Solutions Engineering, Sales Engineering, Solutions Architecture, Technical Account Management, or customer-facing infrastructure engineering experience. \n

• Experience supporting federal, defense, intelligence-community, or other highly regulated government customers. \n

• Strong Linux administration and command-line experience. \n

• 3+ years of hands-on Docker and Kubernetes experience. \n

• 3+ years of Terraform or comparable infrastructure-as-code experience. \n

• Experience deploying or supporting infrastructure in AWS GovCloud, Azure Government, on-premises, private-cloud, disconnected, or air-gapped environments. \n

• Strong networking knowledge, including proxies, ingress controllers, load balancers, routing, DNS, TLS, identity/access considerations, and network boundaries. \n

• Ability to lead technical discovery, live demos, deployment workshops, architecture reviews, and deep-dive troubleshooting with senior technical and program stakeholders. \n

• 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. \n

• Understanding of how engineering teams use coding agents and LLM-powered development workflows in practice. \n

• 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.

A high-growth AI infrastructure company is hiring a an AI/ML Cloud Engineer to support federal, defense, and intelligence-community customers. This person will own technical pre-sales engagements, run complex evaluations, and help agencies deploy secure cloud-development and AI-enabled developer environments-including in classified, disconnected, and air-gapped networks.

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The role blends solutions architecture, technical sales, Kubernetes/platform engineering, customer success, and emerging AI developer-tooling expertise. The right person can earn credibility with deeply technical stakeholders while translating infrastructure decisions into mission outcomes.

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What You’ll Do

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• Own the technical relationship with prospective government customers throughout the pre-sales cycle and drive evaluations toward a successful technical outcome. \n

• Lead technical discovery, architecture discussions, demos, workshops, and proof-of-concepts for secure developer-platform deployments. \n

• Demonstrate the platform from developer, administrator, and AI-agent workflow perspectives. \n

• Install, configure, and troubleshoot developer infrastructure across cloud, government cloud, on-premises, Kubernetes, virtual-machine, disconnected, and air-gapped environments. \n

• Design and execute proof-of-concepts that validate platform value for secure software development and AI-assisted or agentic development workflows. \n

• Partner with account teams and customers to overcome technical blockers, accelerate evaluations, and support deal progression. \n

• Provide post-sales technical support, adoption guidance, renewal support, and escalation management as needed. \n

• Troubleshoot Kubernetes, Linux, networking, deployment, access, proxy, ingress, load-balancing, and infrastructure issues in restricted-access environments. \n

• Serve as the voice of federal customers, translating field feedback, product gaps, and feature requests into actionable input for Product and Engineering. \n

• Contribute deployment guidance, reference architectures, technical documentation, and product feedback to internal and external repositories. \n

• Become a trusted subject-matter expert in cloud development environments, secure developer platforms, coding agents, and AI-enabled software-delivery workflows. \n

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