Senior Platform Engineer, AI

True Anomaly•Denver, CO

1d•Hybrid

About The Position

At True Anomaly, we’re building the next generation of space defense. AI-assisted work is the biggest force multiplier available to a company at True Anomaly's stage. It accelerates how we build, how we deliver, and how we scale. We are investing in AI as a core operating capability, not a side experiment, and this role exists to help make that investment real. As a Senior AI Platform Engineer, you will be one of the first hires to build the infrastructure, tooling, and integrations that put AI directly into the hands and workflows of every team across the company. This is not a research role. It is a building role. You will ship capabilities that engineers, program managers, operators, and business teams use every day to move faster and produce better work. The scope is broad by design. Your work will range from building connectors between AI models and internal systems, developing custom applications for a specific business workflow, and more. You will contribute to platform-level technical decisions about AI providers, tools, and architectures. You will also help build and deliver AI training and enablement for the company, including office hours, brown bags, and hands-on resources. The platform engineering org, reporting to the Chief Security Officer, will work across the enterprise, from engineering and product to marketing and finance. You will have meaningful autonomy, visibility to executive leadership, and the opportunity to shape how a fast-growing defense technology company operates with AI.

Requirements

Typically 5+ years of software engineering, DevOps, or cloud engineering experience building and shipping production systems, with demonstrated ability to work independently and deliver complex projects with minimal guidance
Software engineering or similar background with experience building and shipping production systems, ideally in Python, TypeScript, or similar languages common in AI/ML tooling
Experience using the latest AI powered development tools to deliver production code and automate routine tasks. You can read, write, and understand code in common programming languages like Python, Typescript, Java, etc.
Experience with large language model APIs, including prompt engineering, tool use, retrieval-augmented generation (RAG), or agent frameworks (e.g. CrewAI, Pydantic AI).
Experience building integrations between software systems using APIs, webhooks, data pipelines, or authentication flows
Ability to work across a broad technical surface area, moving between infrastructure, application development, and platform work as priorities require
Effective communication skills and ability to explain technical AI concepts to non-technical audiences through training, documentation, or direct support
Comfortable operating with autonomy in a fast-paced environment where priorities shift and the playbook is being written in real time
US Citizenship and ability to obtain and maintain a Top-Secret security clearance

Nice To Haves

Experience deploying AI or ML systems in government, defense, or regulated environments with security and compliance constraints
Experience deploying and operating production workloads to cloud environments (AWS, Azure, GCP).
Familiarity with government cloud environments (AWS GovCloud, Azure Government) and authorization frameworks (FedRAMP, NIST 800-53, IL4/IL5)
Background in developer tooling, platform engineering, or internal tools teams at high-growth technology companies
Experience building knowledge retrieval systems, embedding pipelines, or enterprise search infrastructure
Experience contributing to technical roadmaps and architectural decisions that affect multiple teams or products
Active U.S. Secret or Top-Secret security clearance

Responsibilities

Build and maintain AI platform infrastructure: API integrations, model access pipelines, system connectors (MCP, tool use), and on-premises compute environments as needed
Develop custom AI-powered applications, workflows, and integrations that connect frontier models to internal systems such as project management, documentation, communications, and operational tools
Contribute to technical evaluation and selection of AI providers, tools, and platforms, helping inform build-vs-buy decisions based on capability, compliance requirements, and speed to value
Help design and deliver AI training and enablement programs for the company, including hands-on workshops, office hours, documentation, and shared resources that build real fluency across teams
Partner with engineering, security, and IT teams to ensure AI deployments meet government security and compliance requirements across data classification levels
Stay current with the rapidly evolving AI landscape and surface new models, tools, and capabilities that could accelerate the company