Western Governors University

6 days ago

Staff AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Serve as a technical leader within the AI Engineering Enablement team, defining how LLM-based systems are architected, deployed, and scaled across the organization. Own AI engineering architecture standards and platform conventions, lead cross-functional initiatives from inception to delivery, and drive build-vs-buy decisions for AI frameworks, models, and infrastructure. Establish LLMOps practices and AI safety (e.g., red-teaming), and mentor Senior and II-level engineers while influencing long-term platform roadmaps.

Location: Raleigh

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Define and own AI engineering architecture standards, design patterns, and platform conventions for LLM-based systems.
•Lead complex, cross-functional AI initiatives from inception through delivery, aligning engineering, product, data science, and research stakeholders.
•Drive build-vs-buy and vendor evaluation decisions for AI frameworks, models, and infrastructure.
•Design and scale internal AI platforms, including shared tooling, reusable components, prompt libraries, and evaluation infrastructure.
•Establish and mature LLMOps practices and lead AI safety efforts including red-teaming, adversarial testing, and responsible AI policy development.

Travel: Medium travel

Pay and Benefits

Salary: USD 161,000 - 249,500 annually

Perks:Health InsuranceDentalVisionHsaFsaLife InsuranceRetirement SavingsTuition DiscountPaid LeaveParental Leave

Key Requirements

•Expert-level production experience across the AI engineering stack, including LLM APIs, agentic systems, RAG pipelines, evaluation frameworks, and LLMOps.
•Demonstrated ability to define and drive architectural patterns and engineering standards at team or organizational scale.
•Deep expertise designing agentic systems (multi-agent architectures, state management, and reliability for non-deterministic systems).
•Strong proficiency in Python and software engineering fundamentals focused on quality, testing, and reliability.
•7+ years in software engineering, data science, or machine learning, including 5+ years building and deploying LLM-based or AI systems in production at scale.

Experience:7+ yearsAILLMMachine learningProduction engineering

Education:Bachelor's

Skills:Technical leadershipCross-functional collaborationArchitectural directionMentorshipReliability focus

Certifications:AWS Certified Machine Learning – Specialty

Tech Stack:PythonLLM APIsAgentic systemsRAGLLMOpsMLOpsAWSDatabricksPEFT

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Western Governors University

An accredited, nonprofit online university offering competency-based bachelor’s and master’s degree programs focused on workforce-relevant skills across business, IT, education, health, and nursing.

Industry: Education

Company Size: Enterprise (1,001+ employees)

Growth: Nonprofit & NGO

Headquarters: Salt Lake City, United States

Founded: 1997

Website LinkedIn

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Western Governors University

6 days ago

Staff AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Raleigh

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Define and own AI engineering architecture standards, design patterns, and platform conventions for LLM-based systems.
•Lead complex, cross-functional AI initiatives from inception through delivery, aligning engineering, product, data science, and research stakeholders.
•Drive build-vs-buy and vendor evaluation decisions for AI frameworks, models, and infrastructure.
•Design and scale internal AI platforms, including shared tooling, reusable components, prompt libraries, and evaluation infrastructure.
•Establish and mature LLMOps practices and lead AI safety efforts including red-teaming, adversarial testing, and responsible AI policy development.

Travel: Medium travel

Pay and Benefits

Salary: USD 161,000 - 249,500 annually

Perks:Health InsuranceDentalVisionHsaFsaLife InsuranceRetirement SavingsTuition DiscountPaid LeaveParental Leave

Key Requirements

•Expert-level production experience across the AI engineering stack, including LLM APIs, agentic systems, RAG pipelines, evaluation frameworks, and LLMOps.
•Demonstrated ability to define and drive architectural patterns and engineering standards at team or organizational scale.
•Deep expertise designing agentic systems (multi-agent architectures, state management, and reliability for non-deterministic systems).
•Strong proficiency in Python and software engineering fundamentals focused on quality, testing, and reliability.
•7+ years in software engineering, data science, or machine learning, including 5+ years building and deploying LLM-based or AI systems in production at scale.

Experience:7+ yearsAILLMMachine learningProduction engineering

Education:Bachelor's

Skills:Technical leadershipCross-functional collaborationArchitectural directionMentorshipReliability focus

Certifications:AWS Certified Machine Learning – Specialty

Tech Stack:PythonLLM APIsAgentic systemsRAGLLMOpsMLOpsAWSDatabricksPEFT

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Western Governors University

Industry: Education

Company Size: Enterprise (1,001+ employees)

Growth: Nonprofit & NGO

Headquarters: Salt Lake City, United States

Founded: 1997

Website LinkedIn