AI Architect: Enterprise AI & Copilot (Hybrid)

Xcel Energy; Minnesota; Hybrid; USD 118,000 - 143,000; Full time

Job summary

Xcel Energy is seeking an AI Architect to design AI solutions across generative AI and predictive ML, translating business needs into scalable architectures. You will work with product owners, analysts, and engineers to define requirements, evaluate options, and validate fit, while aligning with enterprise standards and security practices.

The role emphasizes nonfunctional requirements, observability, production-readiness, and collaboration with data engineers and FinOps to optimize costs and

Qualifications

• Seven years of related functional experience.
• Bachelor’s degree in Technology, Science, Business or related field, or 4 years of experience equivalent to the position.
• Exposure to diverse systems, technologies and processing environments in a large Corporate setting.
• Project solution architecture experience.
• Knowledge of core aspects of architecture (Software, Hardware, Network, Integration, Data, hosting models, platform types, etc.).
• Excellent communication skills, effective with varying organizational levels and skill sets.

Responsibilities

• Lead architecture work for assigned initiatives through coaching and feedback, and through significant interactions and influence with delivery teams and leaders.
• Provide consultation and direction to delivery and operational teams on optimal architecture for AI solutions, including proofs of concept and technical validation.
• Review projects and work efforts and prepare recommendations regarding compliance with architectural standards.

Skills

Leadership

Technical expertise

Architectural operations

Communication skills

Collaboration

Education

Bachelor’s degree or 4 years experience

Tools

GCP

BigQuery

Databricks

Microsoft Copilot

Job description

Xcel Energy is seeking an AI Architect to design AI solutions across generative AI and predictive ML, translating business needs into scalable architectures. You will work with product owners, analysts, and engineers to define requirements, evaluate options, and validate fit, while aligning with enterprise standards and security practices.

The role emphasizes nonfunctional requirements, observability, production-readiness, and collaboration with data engineers and FinOps to optimize costs and