AI Engineer I/II/III

The role

You will build and maintain shared tools and capabilities for an AI agent fleet. You will configure prompt agents, deploy them, and monitor their performance in production.

What you will do

• Build and maintain shared agent tools and capabilities.
• Configure Foundry prompt agents including instructions, model selection, tool assignments, permissions, and guardrails.
• Customize and extend tools when an agent needs something the shared set does not cover.
• Partner with AI Specialists and domain experts to test against real cases and coach them on prompt design and evaluation.
• Deploy agents and monitor the fleet through the Foundry control plane.
• Optimize agents in production and recognize when a deployment needs updates.
• Build pro-code hosted agents or specialized tooling when prompt agents cannot do the job reliably.
• Ensure agents adhere to security and identity standards.
• Help shape the Agent Factory standards.
• Stay current with models, agent frameworks, and Foundry features.

Required qualifications

• Bachelor's degree in a technical discipline (computer science, engineering, information systems, or similar), or an equivalent combination of education and experience.
• 3+ years of professional experience in software engineering, data engineering, or AI/ML roles.
• Hands-on experience building LLM-based agents or applications: prompt design, tool calling, retrieval, and evaluating outputs against real cases.
• Solid software engineering fundamentals in Python, including git, code review, testing, and working with APIs.
• Working experience with Microsoft Azure or a similar cloud platform, including identity, permissions, and secrets management.
• Comfort working across enterprise systems and data, including SQL and integrating with platforms like Salesforce and Databricks.
• Judgment about when code is the right answer versus when a well-designed prompt and the right tools are simpler and just as successful.
• Clear communicator who can explain technical tradeoffs to business partners and coach non-engineers.

Nice to have

• Experience with Microsoft Foundry (Azure AI Foundry): prompt agents, hosted agents, tools, evaluations, and the control plane.
• Exposure to agent frameworks and protocols such as Model Context Protocol (MCP), LangGraph, Semantic Kernel, or similar.
• Working knowledge of Salesforce (configuration, security model, Flow) and the Databricks ecosystem (Unity Catalog, Databricks SQL).
• Experience operating AI in production: monitoring, evaluation harnesses, cost tracking, and responsible AI practices such as PII handling, guardrails, and human-in-the-loop review.

About the company

EQT is building a fleet of AI agents that work alongside its people. The company values Transparent Leadership, Connected Impact, and Supported Growth.