Senior AI Engineer

Overview

Are you looking for an exciting job where you can put your skills and talents to work at a company you can feel proud to be a part of? Do you want a workplace that will challenge you and offer you opportunities to learn and grow? A position at Xcel Energy could be just what you’re looking for.

The Sr. AI Engineer plays a pivotal role in advancing Xcel’s AI vision by leading the technical delivery of innovative IT and AI-powered solutions that drive strategic value and operational excellence. This role empowers teams to leverage emerging AI capabilities such as agentic patterns, generative AI developer tooling, and secure orchestration to deliver innovative solutions that transform business operations.

In addition to technical leadership, the Sr. AI Engineer will mentor and guide teams in adopting AI tooling, establish best practices, foster a culture of continuous improvement and collaboration and ensure that AI solutions are secure, scalable, and aligned with enterprise goals. The position partners with Architecture, Security, and Operations teams to integrate enterprise architecture, compliance, and operational requirements into every solution.

• Solution Delivery:
  Lead and support solution lifecycle technical activities. Ensure solutions are designed for great user experience and operational performance. Lead design, ensuring Enterprise Architecture, Security, Operations and Compliance aspects are continuously integrated into solutions. Provide input to cost and schedule estimation. Responsible for overall integrity of system design and operation. Oversee vendor activities.
• Relationship Management:
  Conduct peer reviews and approve system changes and technical solution design. Coach and mentor less experience team members. Partner cross-organizationally to drive minimal costs on optimal solutions. Provide in-depth technical information to stakeholders as needed.
• Strategy & Planning:
  Innovate through usage of industry emerging capabilities and evolving customer needs. Provide input to strategic roadmap and technical dependencies.
• Subject Matter Expertise:
  Continuously stay current on, and apply, technical industry knowledge pertaining to the respective domain
• Operations:
  Review solution performance, and continually assess health of systems. Track and drive awareness to operational and technical debt risks. Provide escalated support to incident and problem management. Utilize analytics to improve availability, reliability, efficiency and capacity. Oversee vendor activities.
• Solid grasp of core AI engineering concepts, including agentic patterns, agent-to-agent (A2A) communication, tool use, and orchestration.
• Hands-on experience with generative AI developer tooling such as Claude Code, OpenAI Codex, Git Hub Copilot, or comparable coding agents, including day-to-day use in a professional development workflow.
• Proficiency building with AI-relevant languages and ecosystems, particularly Type Script, Python, and .NET.
• Working knowledge of the Model Context Protocol (MCP) and experience with related frameworks and SDKs (e.g., FastMCP, Microsoft Agent Framework, or equivalents).
• Demonstrated experience building agents, skills, hooks, plugins, and tool integrations that extend AI platforms.

• Bachelor's degree in Technology, Science, Business or related field, or 4 years of experience equivalent to the position.
• Ten years of related functional experience.
• Excellent communication skills, effective with varying organizational levels and skill set, and able to translate between technical and non-technical concepts.
• Excellent Relationship Management and collaboration skills, with a track record of working as one team cross-organizationally to drive inovation and business results.
• Expertise managing the lifecycle of technical solutions.
• Deep Subject Matter Expertise within the respective system domain products, platforms, processes and architecture.
• Broad and deep knowledge of technology architecture, infrastructure, network, security and software principles and models.
• Experience working in partnership with internal and external vendors.
• Excellent analytical, problem-solving and…