Senior AI Engineer – Agentic Platform Lead

Senior AI Engineer – Agentic Platform Lead

Locations: Los Angeles, CA | Washington, D.C. | Seattle, WA
Salary Range: $165,000 – $250,000 USD

EVONA is partnering with a leading defense, national security, and space technology company to hire a Senior AI Engineer – Agentic Platform Lead.

This organization builds mission-critical systems that operate at the intersection of advanced AI, complex hardware, and real-world constraints. Their work directly supports national security, space infrastructure, and next-generation aerospace systems.

This is a senior, hands-on technical leadership role for an engineer who thrives in ambiguity, moves fast, and uses AI as leverage to eliminate friction in complex engineering workflows.

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The Role

Our client is seeking a Senior AI Engineer – Agentic Platform Lead to serve as a senior technical leader within a specialized Agentic Computational Engineering (ACE) team.

You will architect and build a multi-agent AI platform that enables autonomous agents to design complex hardware systems end-to-end. You will own the technical roadmap for this platform, lead a small high-caliber team, and work closely with domain experts across propulsion, electronics, and manufacturing.

This role is ideal for a builder who is excited about turning cutting-edge AI research into real, deployable industrial capability.

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What You’ll Build

• A scalable agentic AI platform supporting autonomous hardware design

• Distributed orchestration systems coordinating large numbers of AI agents

• Secure execution environments where agents run code, simulations, and analyses

• Memory, retrieval, and provenance systems (RAG, vector databases, decision logs)

• High-performance, observable systems operating at scale

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Key Responsibilities

• Architect and own the full-stack agentic AI platform, including orchestration, runtimes, and services

• Design distributed systems (orchestrator–worker, swarms, event-driven architectures) for agent coordination

• Build secure execution layers integrating internal tools, simulations, and data sources

• Implement memory, context, and decision-tracking systems for agent reasoning and traceability

• Profile and optimize performance for latency, reliability, and observability

• Lead and mentor a small team of engineers and technical contributors

• Partner with engineering domain experts to translate real workflows into scalable agentic capabilities

• Influence long-term technical strategy for agentic AI across the organization

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Required Qualifications

• Master’s + 5 years, or PhD + 3 years in Computer Science, Physics, Mathematics, or equivalent experience

• 5+ years building production-grade backend or distributed systems in mission-critical environments

• Strong experience with Python, Go, or Rust and modern microservice architectures

• Hands-on experience with LLM-based systems and agent frameworks (e.g., LangGraph, AutoGen, or custom runtimes)

• Demonstrated AI-first workflow, using LLMs and agents to materially accelerate development

• Proven technical leadership in fast-moving, ambiguous environments

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Preferred Qualifications

• Background in Mechanical, Aerospace, Electrical Engineering, Physics, or Applied Mathematics

• Experience integrating AI agents with engineering tools (CAD/CAE, simulation, manufacturing platforms)

• Experience with observability stacks (logging, tracing, metrics)

• Experience building safety-critical or mission-critical platforms

• Open-source contributions or personal projects demonstrating deep system-building expertise

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Compensation & Benefits

• Competitive base salary: $165,000 – $250,000 USD

• Annual bonus potential

• Comprehensive health, retirement, and wellness benefits

• Paid time off