Principal Platform Engineer, AI & Infrastructure

True Anomaly is a defense technology company focused on space superiority, building autonomous spacecraft and advanced mission software. The Principal Platform Engineer, AI & Infrastructure role leads the technical direction for AI and platform engineering, shaping architecture, infrastructure, and AI deployment to deliver cutting-edge space defense capabilities. This senior individual contributor role involves solving complex technical problems, mentoring engineers, and partnering across the organization to drive AI and infrastructure strategy.

Responsibilities:

• Help shape and set the technical vision and multi-quarter roadmap for how True Anomaly builds and operates with AI and the platforms and infrastructure that enable these capabilities, partnering with leadership and the infrastructure team to steer the direction of the company’s systems in service of space superiority
• Parachute into the hardest, most ambiguous technical problems across the enterprise, where the business need is critical but the implementation is undefined, and get hands-on designing and delivering the platforms and systems that solve them
• Set high-level system design and architecture direction across the platform, spanning AI, infrastructure, and data, and bring the enterprise to the cutting edge of agentic engineering. You will do this in concert with the teams and Staff engineers who own these systems, reviewing architecture, helping course-correct, and raising the technical bar rather than designing in isolation
• Play a leading role in DevOps, CI/CD, developer experience, and compute infrastructure decisions and best practices, just as you do in AI, helping the infrastructure and data teams establish paved-road patterns that scale across the enterprise
• Guide technical evaluation and selection of AI providers, platforms, and tooling, helping the team make build-vs-buy decisions based on capability, compliance requirements, and speed to value
• Set the standards and paved-road patterns that the platform engineering team builds against, and help drive their adoption across teams
• Serve as the company’s most trusted AI technologist: advise engineering, product, and business functions on how to apply AI, and help set the vision for how AI is used across the enterprise
• Partner with engineering, security, and IT teams to ensure AI and infrastructure deployments meet government security and compliance requirements across data classification levels
• Act as the technical anchor and mentor for the engineers on the team, setting a high engineering bar and multiplying the people around you
• Stay current with the rapidly evolving AI landscape and bring informed recommendations on new models, tools, and capabilities that could accelerate the company