Senior AI Engineer (MS Copilot)

Company: Expleo Group

Location: Minneapolis, MN 55401 (Remote)

Salary: $78 - $88 an hour

Type: Full-time

Remote: Yes

Posted: 2026-04-08

About this role

Overview:

Location: Fully Remote (Client team based in Minneapolis, Minnesota)

Work Arrangement: Fully Remote

Build the Future of Enterprise AI with Microsoft Copilot

Are you someone who knows how to get real value out of Microsoft Copilot—and also knows when it’s time to go beyond out‑of‑the‑box features? Trissential is hiring a Senior AI Engineer to join our client’s team and design production‑ready AI systems that start inside the Microsoft Copilot ecosystem and extend into custom, enterprise‑grade architectures.

This role is perfect for an engineer who enjoys blending platform‑native Copilot capabilities with custom AI engineering, delivering solutions that are secure, scalable, and grounded in real enterprise data.

What’s in It for You?

  • Copilot-First, Engineering-Driven Work – Design solutions that begin in Microsoft Copilot and evolve into robust AI systems when business needs demand more
  • Enterprise-Scale Impact – Build AI solutions that integrate deeply with Microsoft 365, Azure, and enterprise data sources
  • Technical Ownership – Shape architecture decisions across RAG pipelines, backend services, and Copilot extensions
  • Remote Flexibility – Work fully remote while collaborating with experienced enterprise stakeholders
  • Meaningful AI Work – Focus on production systems, not experimental or demo-only agent frameworks

Your Role & Responsibilities

  • Design and implement solutions using Microsoft Copilot Studio, Microsoft 365 Copilot, and Azure OpenAI
  • Extend Copilot capabilities through custom engineering, including backend APIs and retrieval systems
  • Build and maintain LLM-powered services that support Copilot extensions and standalone enterprise use cases
  • Design and implement retrieval-augmented generation (RAG) pipelines, including: • Document ingestion and normalization
  • Chunking, metadata, and embedding strategies
  • Indexing using vector and hybrid search approaches
  • Implement hybrid retrieval strategies (keyword + v...

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