AI Engineer: Scale & Optimize Enterprise Agents

EQT Corporation; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

EQT Corporation is seeking an AI Engineer to help build and scale a fleet of AI agents that assist business users and integrate with Foundry, Salesforce, and Databricks. You will configure prompts, manage tools and guardrails, and work with AI specialists to tune agents for real-world cases.

You’ll deploy and monitor the fleet, optimize production performance, and contribute to secure, scalable AI practices across the enterprise. Remote work is being considered for this role with national scope.

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 as they test and tune agents.

Responsibilities

• Build and maintain shared agent tools and capabilities.
• Configure Foundry prompt agents: instructions, model selection, tool assignments, permissions, and guardrails, ready for others to test and tune.
• Customize and extend tools when an agent needs something the shared set doesn't yet cover.
• Partner with AI Specialists and domain experts as they test against real cases, and coach them on prompt design and evaluation.
• Deploy agents and monitor the fleet through the Foundry control plane: evaluations, monitoring and alerts, audit trail, and cost.
• Optimize agents in production, and recognize when a deployment is drifting or needs tighter guardrails, better data, or a narrower scope.
• Build pro-code hosted agents or specialized tooling when review shows a prompt agent can't do the job reliably.
• Ensure agents adhere to our security and identity standards.
• Help shape the Agent Factory standards and share what you learn, so the next agent is faster to build than the last.
• Stay current with models, agent frameworks, and Foundry features, and bring forward ideas that move more work from code to reasoning.

Skills

Python

Clear communication

Code review

Testing

APIs

Decision making

Prompt design

Education

Bachelor's degree in a technical discipline

Tools

Git

Azure

Salesforce

Databricks

Job description

EQT Corporation is seeking an AI Engineer to help build and scale a fleet of AI agents that assist business users and integrate with Foundry, Salesforce, and Databricks. You will configure prompts, manage tools and guardrails, and work with AI specialists to tune agents for real-world cases.

You’ll deploy and monitor the fleet, optimize production performance, and contribute to secure, scalable AI practices across the enterprise. Remote work is being considered for this role with national scope.