Sr. Enterprise Architect, Ai Solutions

WGU

Salt Lake City, Utah, US
Base: $175,900.00 - $272,600.00; bonus/equity: eli...
Hybrid
10+ years software engineering or architecture experience
3+ years enterprise or solution architect role
Designing enterprise-scale distributed systems
WGU is seeking a Sr. Enterprise Architect for AI Solutions in Salt Lake City to lead the development and implementation of AI architecture strategies aimed at enhancing student success and operational efficiency. The ideal candidate should possess extensive experience in AI and ML systems, with a strong focus on enterprise-scale solutions

Job Summary

  • This role involves shaping how AI is responsibly designed and embedded across the enterprise to improve student success and operational efficiency.
  • The position requires defining enterprise AI architecture strategy including reference architectures, standards, and best practices for secure and scalable integration.
  • WGU offers a comprehensive benefits package including medical, dental, vision, retirement savings, and flexible paid time off with no accrual needed.

Matching Summary

Match Score: 85

WGU is seeking a Sr. Enterprise Architect for AI Solutions in Salt Lake City to lead the development and implementation of AI architecture strategies aimed at enhancing student success and operational efficiency. The ideal candidate should possess extensive experience in AI and ML systems, with a strong focus on enterprise-scale solutions.

Salary

Base: $175,900.00 - $272,600.00; Bonus/Equity: Eligible for bonuses; Benefits: Medical, dental, vision, telehealth, mental healthcare, HSA/FSA, life insurance, disability, legal coverage, retirement plan, wellbeing program, discounted tuition, flexible PTO, 11 paid holidays

Skills & Requirements

Must-have

  • 10+ years software engineering or architecture experience
  • 3+ years Enterprise or Solution Architect role
  • Designing enterprise-scale distributed systems
  • Deploying AI, ML, or generative AI solutions at scale
  • Strong expertise in APIs and microservices patterns
  • Cloud platform expertise AWS Azure or GCP

Nice-to-have

  • Experience with LLMs prompt engineering RAG architectures
  • Familiarity with MLOps tools like MLflow SageMaker
  • Knowledge of modern data stack tools Snowflake Databricks
  • Experience designing event-driven architectures
  • Understanding of FERPA compliance in AI

Key Requirements

  • 10 plus years of experience in software engineering or architecture
  • 3 years as Enterprise Architect or 8 years technical leadership
  • Proven experience designing enterprise-scale distributed systems
  • Not specified (Visa Sponsorship not available)

Work Rights

Not specified

Tailored Resume

Cover Letter