True Anomaly
Senior Platform Engineer, AI
$190K–$285K
Denver, CO +3 · Senior · Full-time · Posted Jun 16, 2026
- Location
- Denver, CO
Long Beach, CA
Denver, CO
Long Beach, CA - Experience
- Typically 5+ years; software engineering, DevOps, or cloud engineering.
- Visa sponsorship
- Requires U.S. citizenship and ability to obtain and maintain a Top-Secret security clearance. ITAR eligibility requires U.S. citizenship, lawful permanent residency, protected individual status, or eligibility to obtain required authorizations from the U.S. Department of State.
About the job
Build and maintain AI platform infrastructure, integrations, and applications that bring AI capabilities into company workflows while meeting government security and compliance requirements.
What you'll do
- Build AI platform infrastructure, model access pipelines, system connectors, and on-premises compute environments as needed.
- Develop AI-powered applications and integrations; help evaluate AI providers, tools, and platforms.
- Support company-wide AI training and enablement, and partner with engineering, security, and IT on compliant deployments.
What they ask for
- Typically 5+ years of software engineering, DevOps, or cloud engineering experience building and shipping production systems.
- Experience with AI development tools, production code, LLM APIs, and integrations between software systems.
- Ability to work across infrastructure, application development, and platform work, and explain technical AI concepts to non-technical audiences.
- U.S. citizenship and ability to obtain and maintain a Top-Secret security clearance.
Nice to have
- Experience deploying AI/ML in government, defense, or regulated environments; familiarity with government cloud and authorization frameworks.
- Experience with cloud workloads, developer tooling, platform engineering, knowledge retrieval, or enterprise search.
Pay
Denver - $190,000 - $270,000 USD base salary; Long Beach - $200,000 - $285,000 USD base salary
Tools
Python, TypeScript, Java, CrewAI, Pydantic AI, AWS, Azure, GCP
AI focus
Build and deploy AI infrastructure, LLM integrations, custom workflow applications, and company-wide AI enablement; evaluate AI providers and tools and ensure deployments meet government security and compliance requirements.
Model-written summary · the original posting is authoritative