Remote AI Solutions Architect - Production AI Lead

Eliassen Group; Atlanta (GA); Remote; USD 138,000 - 172,000; Full time

Benefits offered by this job

Medical, Dental, and Vision benefits

401k with company matching

Life insurance

Job summary

Eliassen Group is seeking an AI Solutions Architect to enable product teams in delivering AI-native capabilities. You will embed with a solution team, co-building production vertical slices across LLM features, agentic workflows, tool calling, and RAG on an AI middleware platform.

You will coach engineers and PMs to iterate after rotation, ensuring production delivery exceeds prototypes. Engage in evaluation discipline, design reusable platform capabilities, and guide teams through onboarding.

Qualifications

• Shipped LLM-powered functionality to real users with exposure to production issues.
• Hands-on evaluation engineering with golden datasets, rubrics, LLM-as-judge, and automated quality gates.
• Agentic architecture across tool calling, orchestration, context and memory management.

Responsibilities

• Co-build production vertical slices with solution team engineers, including LLM features and RAG.
• Own evaluation engineering with golden datasets, rubrics, LLM-as-judge, and CI/CD quality gates.
• Design and build reusable platform capabilities on the AI middleware and guide teams through onboarding.
• Decide when to use generative AI versus deterministic approaches.
• Support discovery and shaping through a Catalyst-style program from pain-point identification to first working slice.
• Implement model routing, guardrails, observability, and cost controls.
• Coach engineers and product managers on AI-native software patterns.
• Produce durable artifacts such as architecture notes and runbooks.

Skills

LLM features experience

Evaluation engineering

Azure

REST APIs

CI/CD

Software engineering fundamentals

Tools

Azure OpenAI

Azure Container Apps

Terraform

LiteLLM

Langfuse

Tool calling

Job description

Eliassen Group is seeking an AI Solutions Architect to enable product teams in delivering AI-native capabilities. You will embed with a solution team, co-building production vertical slices across LLM features, agentic workflows, tool calling, and RAG on an AI middleware platform.

You will coach engineers and PMs to iterate after rotation, ensuring production delivery exceeds prototypes. Engage in evaluation discipline, design reusable platform capabilities, and guide teams through onboarding.