Senior IT Architect (Integration)
Xcel EnergyDenver, CO
Full Time
Posted November 12, 2026
$112k - $165k
Apply Now
Application opens on company website
Listing evidence and provenance
- Source
- Workday View original listing
- Freshness
- Open in the current public read path; this is not an employer guarantee.Last observed November 13, 2026
- Classification
- Modern power-system classification not yet published for this listing.Legacy source industry field: Utilities
- Pay provenance
- Employer-provided pay
Job Description
Connected, Committed, Trustworthy, Safe
Requirements
- Bachelor's degree in technology, science, business or related field, or 4 years of experience equivalent to the position.
- 10 years of related functional experience.
- Architecture acumen across multiple domains including network, infrastructure, software, hosting models, mobile platforms, and security.
- Exposure to diverse systems, technologies and processing environments in a large corporate setting.
- Project solution architecture experience.
- General knowledge of core aspects of enterprise architecture (Software, Hardware, Network, Integration, Data, hosting models, platform types, etc.).
- Strong 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.
- Excellent communication skills, effective with varying organizational levels and skill sets.
- Excellent Relationship Management and collaboration skills, with a track record of working as one team cross-organizationally to drive innovation and business results.
- Demonstrated ability to architect end-to-end AI and generative AI solutions that integrate enterprise data and systems. Experience defining how agents access enterprise capabilities through governed APIs and tools, including Model Context Protocol (MCP) integrations, together with retrieval-augmented generation, vector search, grounding, orchestration, and controlled access.
- Deep expertise in API-based, event-driven, messaging, streaming, and orchestration patterns for connecting AI capabilities with enterprise applications and data, including explicit evaluation of latency, consistency, resilience, security, and cost trade-offs.
- Demonstrated senior-level accountability for complex AI and enterprise integration architecture across multiple business domains. Experience aligning project-level solution designs with enterprise target-state architectures and modernization roadmaps.
- Proven ability to define and drive adoption of AI and integration reference architectures, reusable patterns, architecture decision records, and implementation guidance that delivery teams can apply consistently.
- Strong architecture experience designing cloud and hybrid integration solutions across enterprise applications, AI services, and data platforms, with clear service boundaries, interface contracts, and operational ownership.
- Experience defining responsible AI and security controls within integrated solutions, including privacy, identity and access controls, sensitive-data protection, observability, auditability, and evaluation criteria for AI solution behavior.
- Experience defining governed data-access and consumption patterns for AI, including discoverable data products, data contracts, metadata, lineage, quality expectations, and self-service access.
- Ability to assess AI and integration readiness, identify technical debt and unnecessary duplication, and define pragmatic transition architectures and phased modernization plans that balance project delivery with enterprise direction.
- Hands-on technical depth to validate AI and integration architecture decisions through prototypes, integration specifications, design reviews, and troubleshooting, with clear criteria for moving from proof of concept to production and clear engineering accountability.
- Demonstrated ability to influence senior stakeholders, communicate technical trade-offs in business terms, resolve cross-domain design issues, and mentor architects and engineers without relying on direct reporting authority.
- Experience defining measurable AI and integration architecture outcomes for solution quality, reuse, reliability, performance, security, and cost, and using those outcomes to guide continuous improvement.
- Experience in utilities or similarly complex, regulated enterprises with operationally critical systems and diverse legacy and modern technology environments.
- Our culture is grounded in shared values and employee commitments that guide how we work, support one another, and grow together.
Ready to Apply?
Apply directly on Xcel Energy's site
Get new power and energy jobs weekly
New jobs across data centers, grid, nuclear, storage, generation, and renewables. One email a week.
Job Alerts
Get alerts for jobs like this one
More at Xcel Energy
Similar Jobs
More jobs at Xcel Energy
Similar jobs in Utilities
More jobs in Denver, CO
SI
