What are the responsibilities and job description for the Senior AI Engineer - Agentic Platform Lead position at EVONA?
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.
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.
What You’ll Build
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.
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.
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
- 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
- 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
- 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
- Competitive base salary: $165,000 – $250,000 USD
- Annual bonus potential
- Comprehensive health, retirement, and wellness benefits
- Paid time off
Salary : $165,000 - $250,000