Senior Enterprise AI Systems Architect & Builder

Elios AI; Atlanta (GA); Hybrid; USD 230,000 - 350,000; Full time

Benefits offered by this job

Competitive compensation

Benefits

Job summary

Elios AI is seeking a senior architect to define technical direction across enterprise AI engagements. The role demands building scalable AI platforms, advising executives, and delivering high-availability systems with rigorous cost controls.

You will lead hands-on architectural work, mentor distributed teams, and stay current with the latest AI tooling and production practices to ensure reliable, trusted deployments.

Qualifications

• 10+ years of production software engineering with a focus on LLM-powered systems.
• Experience architecting and shipping production AI products at scale.
• Consulting or enterprise delivery background with executive-level communication.

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, including standards for evals, reliability, cost, and responsible AI tool use.
• 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

Production software

Executive communication

Full-stack depth

Engineering leadership

Tools

Python

TypeScript

React

Backend frameworks

Agentic coding tools

Job description

Elios AI is seeking a senior architect to define technical direction across enterprise AI engagements. The role demands building scalable AI platforms, advising executives, and delivering high-availability systems with rigorous cost controls.

You will lead hands-on architectural work, mentor distributed teams, and stay current with the latest AI tooling and production practices to ensure reliable, trusted deployments.