Remote AI Solutions Architect — Ship Production AI Features

Eliassen Group; Lincoln (NE); 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 embed with a solution team and deliver AI-native capabilities. You will co-build production slices around LLM features, agentic workflows, tool calling, and RAG on an AI middleware platform, while establishing evaluation discipline and reusable platform capabilities.

The role emphasizes coaching engineers and product managers, with a focus on production delivery, governance, and scalable architecture patterns across the AI stack.

Qualifications

• Shipped LLM-powered features to production.
• Hands-on evaluation engineering with gold datasets and rubrics.
• Experience with agentic architectures and tool calling.
• Familiar with RAG and semantic search.
• Cloud-native stack: Azure, REST APIs, CI/CD.

Responsibilities

• Co-build production vertical slices with solution team engineers and LLM features.
• Own evaluation engineering with datasets, rubrics, LLM-as-judge, and CI/CD gates.
• Design reusable platform capabilities on the AI middleware.
• Decide when to use generative AI vs deterministic approaches.
• Support discovery and shaping through Catalyst-style programs.
• Implement model routing, guardrails, and observability.

Skills

LLM-powered features

Evaluation engineering

Agentic architecture

RAG implementation

Azure + REST + CI/CD

Software engineering

Azure OpenAI

Terraform

Langfuse

Product-team coaching

Tools

Azure Container Apps

Terraform

Langfuse

Azure OpenAI

Job description

Eliassen Group is seeking an AI Solutions Architect to embed with a solution team and deliver AI-native capabilities. You will co-build production slices around LLM features, agentic workflows, tool calling, and RAG on an AI middleware platform, while establishing evaluation discipline and reusable platform capabilities.

The role emphasizes coaching engineers and product managers, with a focus on production delivery, governance, and scalable architecture patterns across the AI stack.