AI/ML Cloud Engineer (TS/SCI Polygraph Required)
3 days ago
Albany
Role: Senior AI/ML Cloud Engineer (TS/SCI Polygraph Required) Location: Remote w/ occasional travel D.C 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. 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. What You’ll Do • Own the technical relationship with prospective government customers throughout the pre-sales cycle and drive evaluations toward a successful technical outcome., • Lead technical discovery, architecture discussions, demos, workshops, and proof-of-concepts for secure developer-platform deployments., • Demonstrate the platform from developer, administrator, and AI-agent workflow perspectives., • Install, configure, and troubleshoot developer infrastructure across cloud, government cloud, on-premises, Kubernetes, virtual-machine, disconnected, and air-gapped environments., • Design and execute proof-of-concepts that validate platform value for secure software development and AI-assisted or agentic development workflows., • Partner with account teams and customers to overcome technical blockers, accelerate evaluations, and support deal progression., • Provide post-sales technical support, adoption guidance, renewal support, and escalation management as needed., • Troubleshoot Kubernetes, Linux, networking, deployment, access, proxy, ingress, load-balancing, and infrastructure issues in restricted-access environments., • Serve as the voice of federal customers, translating field feedback, product gaps, and feature requests into actionable input for Product and Engineering., • Contribute deployment guidance, reference architectures, technical documentation, and product feedback to internal and external repositories., • Become a trusted subject-matter expert in cloud development environments, secure developer platforms, coding agents, and AI-enabled software-delivery workflows. Required Qualifications • Active TS/SCI clearance with Polygraph at the time of hire., • U.S. citizenship and current residence in the DC/Maryland/Virginia area, with the ability to travel to customer sites., • 5+ years of Solutions Engineering, Sales Engineering, Solutions Architecture, Technical Account Management, or customer-facing infrastructure engineering experience., • Experience supporting federal, defense, intelligence-community, or other highly regulated government customers., • Strong Linux administration and command-line experience., • 3+ years of hands-on Docker and Kubernetes experience., • 3+ years of Terraform or comparable infrastructure-as-code experience., • Experience deploying or supporting infrastructure in AWS GovCloud, Azure Government, on-premises, private-cloud, disconnected, or air-gapped environments., • Strong networking knowledge, including proxies, ingress controllers, load balancers, routing, DNS, TLS, identity/access considerations, and network boundaries., • Ability to lead technical discovery, live demos, deployment workshops, architecture reviews, and deep-dive troubleshooting with senior technical and program stakeholders., • Strong communication skills and an ability to translate complex infrastructure challenges into meaningful mission, security, speed, and developer-productivity outcomes. AI / Agentic Requirements • Hands-on familiarity with AI coding tools and developer assistants, such as Claude Code, GitHub Copilot, Cursor, or comparable tools., • Understanding of how engineering teams use coding agents and LLM-powered development workflows in practice., • 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., • Interest in helping agencies adopt agentic development workflows where they offer a practical and mission-aligned benefit.