AI Agent Developer

About the Company 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. About the Role 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. 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 hand-holding. • 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. Qualifications • 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. Preferred Skills • 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.