Remote AI Solutions Architect Production AI Pipelines

Eliassen Group; Augusta (ME); Remote; USD 138,000 - 172,000; Full time

Benefits offered by this job

Medical, Dental, Vision benefits

401k with company matching

Life insurance

Job summary

Eliassen Group is seeking an AI Solutions Architect to enable product teams to ship AI-native capabilities from a remote, contract-based capacity. You will embed with one solution team at a time, co-building production vertical slices across LLM features, agentic workflows, tool calling, and RAG on top of an AI middleware platform.

You will establish evaluation discipline and coach engineers and PMs to iterate after rotation.

Qualifications

• Shipped LLM-powered functionality to real users in production.
• Hands-on evaluation engineering with golden datasets and CI/CD 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 quality gates.
• Design 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.
• 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-powered

Agentic architecture

RAG

Azure

CI/CD

REST APIs

Cloud-native services

Software engineering

Tools

Azure OpenAI

Terraform

Azure Container Apps

LiteLLM

Langfuse

Job description

Eliassen Group is seeking an AI Solutions Architect to enable product teams to ship AI-native capabilities from a remote, contract-based capacity. You will embed with one solution team at a time, co-building production vertical slices across LLM features, agentic workflows, tool calling, and RAG on top of an AI middleware platform.

You will establish evaluation discipline and coach engineers and PMs to iterate after rotation.