Sr. Enterprise Architect, AI Solutions

If youre passionate about building a better future for individuals communities and our countryand youre committed to working hard to play your part in building that futureconsider WGU as the next step in your career.

Driven by a mission to expand access to higher education through online competency-based degree programs WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century one that has received praise from academic industry government and media leaders. Whatever your role working for WGU gives you a part to play in helping students graduate creating a better tomorrow for themselves and their families.

The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

At WGU it is not typical for an individual to be hired at or near the top of the range for their position and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:

Job Description

What Youll Do

• Define and lead WGUs enterprise AI architecture strategy including reference architectures standards and best practices.

• Establish patterns for integrating AI ML and generative AI solutions into enterprise systems in a secure scalable and maintainable way.

• Architect AI-enabled solutions such as recommendation systems intelligent assistants and automation workflows that align to institutional priorities.

• Define reusable AI services and platforms including model serving prompt orchestration inference pipelines and shared enablement capabilities.

• Strengthen the data and integration foundations that support AI including pipelines data quality feature engineering readiness APIs microservices and event-driven patterns.

• Enable real-time and adaptive AI use cases by designing event contracts streaming architectures and feedback loops that are interoperable across domains.

• Establish responsible AI and governance frameworks that support ethical secure and compliant AI usage including privacy considerations and FERPA alignment.

What Youll Bring

• 10 plus years of experience in software engineering architecture or related roles with increasing focus on AI and ML systems.

• 3 years of experience as an Enterprise Architect or Solution Architect or 8 years in a technical leadership role such as technical lead or principal engineer.

• Proven experience designing enterprise-scale distributed systems and delivering successful technology transformation.

• Proven experience designing and deploying AI ML or generative AI solutions at scale.

• Strong expertise in AI and ML architecture including training inference and deployment patterns.

• Strong expertise in APIs and microservices patterns used to integrate AI capabilities into enterprise applications.

• Strong expertise with distributed systems and cloud platforms such as AWS Azure or GCP including architectural tradeoffs and scalability considerations.

Bonus Points

• Experience with LLMs prompt engineering RAG architectures and vector databases.

• Familiarity with MLOps tools and frameworks such as MLflow SageMaker or Vertex AI.

• Familiarity with modern data stack tools such as Snowflake Databricks dbt or Kafka and how they support AI workloads.

Experience in Lieu of Education

• WGU considers a combination of relevant education certifications and directly related experience when evaluating qualifications for this role.

What to Expect

At WGU our mission drives everything we do including how we hire. Our interview experience is designed to give qualified candidates the opportunity to show their best work through meaningful conversations and collaboration.
We thoughtfully review every application and invite forward the candidates whose experience and potential best align with the role and our mission.

• Introductory call

• Hiring manager interview

• Technical team interview

Work Location

This is a full-time hybrid role based in our Salt Lake City Utah office.

Visa Sponsorship

While we welcome applicants from all backgrounds WGU is not able to provide visa sponsorship for this role.

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Position & Application Details

How to Apply: If interested an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday.

Additional Information

Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. Its not all-inclusive.

Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at

Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.