Principal AI Engineer

Set technical direction for AI systems that combine models, tools, data, evaluations, and human oversight.

• Define architecture patterns for reliable AI products.
• Mentor engineers building agentic and decision intelligence capabilities.
• Raise the bar on quality, safety, and production readiness.

• Lead design of AI platforms, agent frameworks, model workflows, and evaluation systems.
• Make build-versus-buy decisions across model providers, tools, and infrastructure.
• Review high-risk AI features for reliability, security, and human-in-the-loop controls.
• Partner with product and engineering leaders to turn strategy into shipped systems.

• 8+ years of software or AI engineering experience.
• Track record shipping production AI, ML, search, data, or automation systems.
• Deep judgment around model limitations, evaluations, privacy, and operational risk.
• U.S. Citizenship is required.
• Must be capable of obtaining and maintaining a Top Secret security clearance.
• Comfort working with ambiguous mission, data, and engineering problems.
• Strong written communication and ability to explain technical decisions to technical and non-technical teams.

• AWS experience is a plus, especially secure cloud, Gov Cloud, serverless, data, or AI services.
• AI, machine learning, LLM, agentic workflow, or decision intelligence experience is a plus.
• Experience in defense, government, manufacturing, aerospace, logistics, or other mission-critical environments is a plus.

Anautics evaluates candidates based on role-relevant skills, judgment, ownership, and ability to work in high-trust environments. AWS and AI experience are strong pluses across this hiring plan.