Remote AI Solutions Architect - Production LLM Lead

Eliassen Group

Lansing (MI)

Remote

USD 138,000 - 172,000

Full time

14 days+
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Benefits offered by this job

Medical
Dental
Vision
401k with company matching
Life insurance

Job summary

Eliassen Group is seeking an AI Solutions Architect for remote engagement to enable product teams to ship AI-native capabilities. You will embed with one solution team at a time, co-building across LLM features, agentic workflows, tool calling, and RAG on an AI middleware platform.

Coaching engineers and PMs, you will drive production delivery and reusable platform capabilities. Responsibilities include evaluating with golden datasets, CI/CD gates, and architecture notes, while guiding

Qualifications

  • Shipped LLM-powered functionality to production systems.
  • Experience with evaluation engineering and CI/CD gates.
  • Ability to articulate technical decisions to engineers and product managers.

Responsibilities

  • Co-build production vertical slices with solution team engineers, including LLM features and RAG integration.
  • Own evaluation engineering with golden datasets and quality gates; transition ownership to the team.
  • Design reusable platform capabilities on the AI middleware and guide onboarding.
  • Decide when to use generative AI vs deterministic approaches.
  • Coach engineers and product managers on AI-native software patterns.
  • Produce architecture notes, evaluation suites, and runbooks.

Skills

Shipped LLM-powered functionality
Evaluation engineering
Clear technical communication

Tools

Azure OpenAI
Azure Container Apps
Terraform
Langfuse

Job description

Eliassen Group is seeking an AI Solutions Architect for remote engagement to enable product teams to ship AI-native capabilities. You will embed with one solution team at a time, co-building across LLM features, agentic workflows, tool calling, and RAG on an AI middleware platform.

Coaching engineers and PMs, you will drive production delivery and reusable platform capabilities. Responsibilities include evaluating with golden datasets, CI/CD gates, and architecture notes, while guiding

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