<p>YOUR MISSION</p> <p>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.</p> <p>As a Senior AI Platform Engineer, you will 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.</p> <p>The scope is broad by design. You may be standing up on-premises GPU infrastructure one week, building connectors between AI models and internal systems the next, and developing a custom application for a specific business workflow after that. 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.</p> <p>This role reports to the Chief Security Officer and works across every function. You will have meaningful autonomy, direct visibility to executive leadership, and the opportunity to shape how a fast-growing defense technology company operates with AI.</p> <p>RESPONSIBILITIES</p> <ul> <li>Build and maintain AI platform infrastructure: API integrations, model access pipelines, system connectors (MCP, tool use), and on-premises compute environments as needed </li><li>Develop custom AI-powered applications, workflows, and integrations that connect frontier models to internal systems such as project management, documentation, communications, and operational tools </li><li>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 </li><li>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 </li><li>Partner with engineering, security, and IT teams to ensure AI deployments meet government security and compliance requirements across data classification levels </li><li>Stay current with the rapidly evolving AI landscape and surface new models, tools, and capabilities that could accelerate the company </li></ul> <p>QUALIFICATIONS</p> <ul> <li>Software engineering background with experience building and shipping production systems, ideally in Python, TypeScript, or similar languages common in AI/ML tooling </li><li>Hands-on experience with large language model APIs, including prompt engineering, tool use, retrieval-augmented generation (RAG), or agent frameworks </li><li>Experience building integrations between software systems using APIs, webhooks, data pipelines, or authentication flows </li><li>Ability to work across a broad technical surface area, moving between infrastructure, application development, and platform work as priorities require </li><li>Good communication skills and ability to explain technical AI concepts to non-technical audiences through training, documentation, or direct support </li><li>Comfortable operating with autonomy in a fast-paced environment where priorities shift and the playbook is being written in real time </li><li>Ability to maintain or obtain TS//SCI clearance </li></ul> <p>PREFERRED SKILLS AND EXPERIENCE</p> <ul> <li>Experience deploying AI or ML systems in government, defense, or regulated environments with security and compliance constraints </li><li>Familiarity with government cloud environments (AWS GovCloud, Azure Government) and authorization frameworks (FedRAMP, IL4/IL5) </li><li>Experience with on-premises GPU infrastructure (NVIDIA, CUDA) for model hosting or fine-tuning </li><li>Background in developer tooling, platform engineering, or internal tools teams at high-growth technology companies </li><li>Experience building knowledge retrieval systems, embedding pipelines, or enterprise search infrastructure </li><li>Currently hold or have previously held a U.S. security clearance at any level </li></ul> <p>COMPENSATION</p> <ul> <li>Base Salary: $155,000-$215,000 </li><li>Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave </li></ul> <p>Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience.</p> <p>ADDITIONAL REQUIREMENTS</p> <ul> <li>Work Location-while we observe a hybrid work environment, you will need to be onsite as the business needs require. On an average week, you can expect to spend at least 3 days per week in office. </li><li>Work environment-the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job. </li><li>Physical demands-the physical demands of the job, including bending, sitting, lifting and driving. </li></ul> <p>This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Hybrid</p>