Enterprise AI Architect: LLMs, Azure & AI Solutions

SkyWest Airlines; Saint George (UT); On-site; USD 180,000 - 230,000; Full time

Job summary

SkyWest Airlines in Utah seeks an Enterprise AI Architect to partner with business and technology leaders, driving AI-driven transformations across core systems. You will design and deliver enterprise AI solutions, focusing on secure, scalable architectures aligned with business goals.

The role requires 5+ years in software or cloud architecture, strong communication, and hands-on work with LLMs, Copilot, Azure AI, and data platforms to empower teams and improve efficiency.

Qualifications

• Experience designing enterprise AI architectures.
• Experience with AI/ML, Copilot, LLMs and related technologies.
• Ability to lead architectural guidance across teams.

Responsibilities

• Partner with business and technology leaders to identify AI opportunities that improve efficiency and results.
• Lead architecture, design, and delivery of enterprise AI solutions using LLMs, AI agents, and related tech.
• Establish enterprise AI architecture standards and best practices for secure, scalable solutions.
• Analyze processes to determine AI, automation, or software opportunities.
• Design and oversee RAG solutions, knowledge management, and intelligent search platforms.
• Collaborate with software teams to integrate AI into applications and APIs.

Skills

Analytical skills

Communication skills

Translate business objectives into技术解决

Present architectural designs

Leadership and stakeholder influence

Education

Bachelor's degree in Computer Science / related field

Equivalent education and experience considered

Tools

Microsoft Copilot

Azure Foundry

Azure AI services

Vector databases

Job description

SkyWest Airlines in Utah seeks an Enterprise AI Architect to partner with business and technology leaders, driving AI-driven transformations across core systems. You will design and deliver enterprise AI solutions, focusing on secure, scalable architectures aligned with business goals.

The role requires 5+ years in software or cloud architecture, strong communication, and hands-on work with LLMs, Copilot, Azure AI, and data platforms to empower teams and improve efficiency.