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Senior AI Engineer

Job in Minneapolis, Hennepin County, Minnesota, 55400, USA
Listing for: Xcel Energy Services Inc
Full Time position
Listed on 2026-07-23
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 130000 - 170000 USD Yearly USD 130000.00 170000.00 YEAR
Job Description & How to Apply Below

Position Summary

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. The role empowers teams to leverage emerging AI capabilities such as agentic patterns, generative AI developer tooling, and secure orchestration to transform business operations. In addition to technical leadership, the Sr.

AI Engineer mentors and guides teams in adopting AI tooling, establishes best practices, fosters a culture of continuous improvement and collaboration, and ensures 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.

Essential Responsibilities
  • Solution Delivery:
    Lead and support solution lifecycle technical activities; ensure solutions are designed for exceptional user experience and operational performance; integrate Enterprise Architecture, Security, Operations, and Compliance aspects; provide input to cost and schedule estimation; maintain overall system design integrity; oversee vendor activities.
  • Relationship Management:
    Conduct peer reviews and approve system changes and technical solution designs; coach and mentor less experienced team members; partner cross‑organizationally to achieve minimal costs on optimal solutions; provide in‑depth technical information to stakeholders.
  • Strategy & Planning:
    Innovate through 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 system health; track and address 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.
Core AI Engineering Knowledge
  • Solid grasp of 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; daily use in professional development workflows.
  • Proficiency in 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).
  • Demonstrated experience building agents, skills, hooks, plugins, and tool integrations that extend AI platforms.
Minimum Requirements
  • Bachelor’s degree in Technology, Science, Business or related field, or equivalent of 4 years of experience.
  • Ten years of related functional experience.
  • Excellent communication skills, effective with varying organizational levels and skill sets, 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 across organizations to drive innovation 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 troubleshooting skills.
  • Extensive knowledge of future technology trends within area of expertise.
  • Demonstrated leadership on technical aspects of large‑scale projects.
  • Experience coaching developers in system deployment or operational troubleshooting.
  • Experience with delivery methodologies (Waterfall, Agile, Scrum) and operational models (ITIL).
  • Experience and understanding of core IT Service Management functions such as Change Management and Incident Management.
Preferred Requirements
  • Famil…
Position Requirements
10+ Years work experience
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