AI Agent Developer

GP Strategies•Troy, MI

13h•Remote

About The Position

Role Overview The team is seeking a hands‑on AI Agent Developer who can design, build, and iterate on data‑driven AI agents using Microsoft technologies such as Microsoft Fabric, Azure, and Copilot Studio. The role requires strong engineering fundamentals, fast iteration, the ability to anticipate issues, and effective collaboration with both technical and non‑technical stakeholders. Core Responsibilities AI Agent Development Build and deploy AI data agents connected to enterprise datasets and semantic models in Microsoft Fabric. Configure prompts, grounding strategies, exemplars, and agent instructions. Implement multi‑agent architectures, including parent/child routing, delegation, and fallback patterns. Prompt Engineering & Evaluation Write clear system messages, input/output formats, and guardrails. Evaluate prompt behaviour for reliability, correctness, retrieval quality, and output safety. Instrument evaluation loops and continuously improve models based on telemetry and feedback. Data & Semantic Model Integration Integrate agents with Fabric Lakehouse/Warehouse datasets and semantic models. Work with data engineers to define data requirements and ensure proper schema alignment. Map user intents to the correct data fields and grounding sources. Backend Engineering (Python / SQL / Azure) Build supporting utilities and APIs using Python, SQL, and Azure services. Integrate agents with retrieval layers such as Cognitive Search, vector indexes, or API endpoints. Rapid Iteration & Quality Move quickly from MVP → v1 → vNext with minimal handholding. Detect and diagnose issues such as data gaps, grounding mismatches, prompt failures, or routing errors. Recommend fixes and drive continuous improvements. Collaboration & Communication Communicate technical reasoning clearly to engineers, architects, PMs, and non‑technical partners. Break work into clear phases, milestones, dependencies, and delivery plans. GP Strategies Corporation is one of the world's leading talent transformation providers. By delivering award-winning learning and development solutions, we help organizations transform through their people and achieve meaningful change. GP Strategies has delivered our innovative consulting, learning services, and talent technology solutions to over 6,000 organizations globally. From our global experience working across thousands of projects and initiatives over the past 55 years, we've learned that relationships, business, work, innovation, strategy, and transformation are all about people. And, to put it simply, GP Strategies is about our people - an extensive global network of learning experts. Additional information can be found at www.gpstrategies.com. With more than 4000 employees in over 30 countries, diversity at GP Strategies is second nature! Beyond our locations, our culture focuses on performance and revolves around respect, fairness, and working collaboratively to achieve our goals. We support our People, no matter who they are or where they are from, because we all have valuable and unique perspectives and approaches. That's how great ideas are born, which enable us to work smarter. GP Strategies is committed and proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth and related conditions, sexual orientation, and gender identity), national origin, age, veteran status, disability, or any other federally protected class.

Requirements

Proven experience building AI agents, copilots, or conversational AI applications.
Strong engineering skills in SQL, Python, and Azure services.
Experience connecting agents to semantic models, BI datasets, or Fabric‑based data sources.
Ability to design and operate multi‑agent systems (parent/child agents, routing logic, state handling).
Strong problem‑solving skills and ability to iterate quickly with limited guidance.
Clear communication skills across technical and non-technical audiences.

Nice To Haves

Experience with Copilot Studio, agent orchestration frameworks, or Fabric Data Agents.
Familiarity with retrieval‑augmented generation (RAG), vector search, metadata enrichment, and evaluation pipelines.
Understanding of enterprise data governance, privacy practices, and data stewardship.
Experience creating telemetry dashboards or analytics to measure agent performance and quality.

Responsibilities

Build and deploy AI data agents connected to enterprise datasets and semantic models in Microsoft Fabric.
Configure prompts, grounding strategies, exemplars, and agent instructions.
Implement multi‑agent architectures, including parent/child routing, delegation, and fallback patterns.
Write clear system messages, input/output formats, and guardrails.
Evaluate prompt behaviour for reliability, correctness, retrieval quality, and output safety.
Instrument evaluation loops and continuously improve models based on telemetry and feedback.
Integrate agents with Fabric Lakehouse/Warehouse datasets and semantic models.
Work with data engineers to define data requirements and ensure proper schema alignment.
Map user intents to the correct data fields and grounding sources.
Build supporting utilities and APIs using Python, SQL, and Azure services.
Integrate agents with retrieval layers such as Cognitive Search, vector indexes, or API endpoints.
Move quickly from MVP → v1 → vNext with minimal handholding.
Detect and diagnose issues such as data gaps, grounding mismatches, prompt failures, or routing errors.
Recommend fixes and drive continuous improvements.
Communicate technical reasoning clearly to engineers, architects, PMs, and non-technical partners.
Break work into clear phases, milestones, dependencies, and delivery plans.