Senior AI Systems Architect & Hands-On Leader

Elios AI; Seattle (WA); Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Competitive compensation

Benefits package

Job summary

Elios AI in Seattle, WA is seeking a senior architect to set technical direction across enterprise AI engagements. You will operate at executive levels with precision and contribute hands-on as a builder.

You will own architecture across engagements, advise executive stakeholders on AI strategy, set technical standards, and mentor distributed teams. A decade-plus in production engineering with deep LLM experience is required, along with strong tooling and cost/trust focus.

Qualifications

• 10+ years of production software engineering experience, including 3+ years on LLM-powered systems.
• Experience architecting and shipping production AI products with measurable scale and availability.
• Consulting or enterprise delivery background with executive-level communication.
• Full-stack depth across Python, TypeScript, React, and modern backend frameworks; fluency with agentic coding tools.
• History of leading engineers across distributed environments while staying hands-on.

Responsibilities

• Own architecture across engagements: orchestrator-worker patterns, MCP integrations, hybrid RAG systems, and LLM platforms built for scale.
• Advise executive stakeholders on AI strategy and translate it into systems that ship.
• Set the technical bar across teams: evals, reliability, cost, and responsible AI tooling.
• Unblock the hardest problems hands-on; this is a player-coach role at the highest technical level.
• Mentor senior and lead engineers across distributed teams.
• Stay genuinely current: what shipped this month, not what was in a course six months ago.

Skills

LLM systems experience

Executive-level communication

Leadership across distributed teams

Python

TypeScript

React

Tools

LLM platforms

Agentic coding tools

Backend frameworks

Job description

Elios AI in Seattle, WA is seeking a senior architect to set technical direction across enterprise AI engagements. You will operate at executive levels with precision and contribute hands-on as a builder.

You will own architecture across engagements, advise executive stakeholders on AI strategy, set technical standards, and mentor distributed teams. A decade-plus in production engineering with deep LLM experience is required, along with strong tooling and cost/trust focus.