Remote AI Solutions Architect — Production-Scale AI

Eliassen Group; Austin (TX); Remote; USD 138,000 - 172,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401k

Life insurance

Job summary

Eliassen Group is seeking an AI Solutions Architect to enable product teams to deliver AI-native features. You will embed with one solution team at a time, building production-ready vertical slices, from LLM features to tool calling and RAG, within an AI middleware platform.

You will establish evaluation discipline, design reusable capabilities, and coach engineers and PMs so teams continue to iterate after you rotate.

Qualifications

• Shipped LLM-powered functionality to real users with production exposure.
• Experience with evaluation datasets, rubrics, LLM-as-judge, and automated gates.
• Ability to onboard and coach engineers and product managers on AI-native patterns.

Responsibilities

• Co-build production vertical slices with solution team engineers, including LLM features, agentic workflows, tool calling, and RAG.
• Own evaluation engineering with golden datasets, rubrics, LLM-as-judge, and CI/CD 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 to first working slice with middleware integration.
• 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, evaluation suites, runbooks, and implementation patterns.

Skills

LLM Architecture

Evaluation Engineering

Agentic Workflows

Tool Calling

RAG & Search

Azure

CI/CD

REST APIs

Cloud-Native

Software Eng

Tools

Azure OpenAI

Terraform

LiteLLM

Langfuse

Azure Container Apps

Job description

Eliassen Group is seeking an AI Solutions Architect to enable product teams to deliver AI-native features. You will embed with one solution team at a time, building production-ready vertical slices, from LLM features to tool calling and RAG, within an AI middleware platform.

You will establish evaluation discipline, design reusable capabilities, and coach engineers and PMs so teams continue to iterate after you rotate.