Staff Platform Engineer (Artificial Intelligence)

Join True Anomaly, a fast-growing defense technology company, as a Staff AI Platform Engineer. In this role, you will build the infrastructure, tooling, and integrations that put AI directly into the hands and workflows of every team across the company. You will own platform-level technical decisions about AI providers, tools, and architectures, and help build and deliver AI training and enablement for the company. This is a unique opportunity to shape how a defense technology company operates with AI, with meaningful autonomy and visibility to executive leadership.

• Concevoir et construire l'infrastructure de la plateforme d'IA, y compris les intégrations et les applications personnalisées.
• Prendre des décisions techniques au niveau de la plateforme concernant les fournisseurs d'IA, les outils et les architectures.
• Diriger la formation et l'habilitation à l'IA pour l'entreprise, y compris les ateliers pratiques et les ressources partagées.
• Strong 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
• Demonstrated experience owning technical roadmaps and making architectural decisions that affect multiple teams or products, including setting technical standards and driving adoption
• US Citizenship and ability to obtain and maintain a Top-Secret security clearance
• Experience with large language model APIs, including prompt engineering, tool use, retrieval-augmented generation (RAG), or agent frameworks (e.g. CrewAI, Pydantic AI)
• Typically 8+ years of software engineering, DevOps, or cloud engineering experience with a track record of technical leadership, including owning roadmaps, making architectural decisions, and mentoring engineers
• Experience deploying and operating production workloads to cloud environments (AWS, Azure, GCP)
• Strong communication skills and ability to translate technical AI concepts for non-technical audiences through training, documentation, and direct support
• Demonstrated ability to work across a broad technical surface area, context-switching between infrastructure, application development, and platform architecture. Ability to work across teams to understand requirements and seek consensus
• Self-directed and comfortable operating with high autonomy in a fast-paced environment where priorities shift and the playbook is being written in real time
• Experience with building and using modern software development lifecycle best practices (CI/CD pipelines, continuous testing and monitoring)
• Experience deploying AI or ML systems in government, defense, or regulated environments with security and compliance constraints
• Familiarity with government cloud environments (AWS GovCloud, Azure Government) and authorization frameworks (FedRAMP, NIST 800-53, IL4/IL5)
• Experience with model hosting or fine-tuning and/or experience benchmarking models and evaluating cost tradeoffs
• Experience with LLM eval frameworks, OpenTelemetry tracing, and other model measurement and observability frameworks
• 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
• Active U.S. Secret or Top-Secret security clearance