AI Solutions Architect

About SkyWest

SkyWest is the largest regional airline in the United States and partners with four major airline carriers. More importantly, we’re known for our reliability, service, and our professional employees who operate flights each day throughout North America. We have been esteemed as one of America’s Best Employers by Forbes and are known for an industry-leading workforce, an exceptional leadership team, and our continued solid operational and economic performance.

SkyWest employees enjoy a distinctive and unmatched culture of teamwork, respect, quality, and professionalism, along with world-class benefits such as:

401(k) match

Performance Rewards and Profit Sharing

Health care (medical, dental, and vision)

Discounted worldwide flight benefits and free on available open seating for you and your family with four of our major airlines (Delta, United, Alaska, and American)

Primary Job Duties

· Partner with business and technology leaders to identify, assess, and prioritize AI opportunities that improve efficiency, productivity, and business results.

· Lead the architecture, design, and delivery of enterprise AI solutions using large language models, AI agents, generative AI, machine learning, Microsoft Copilot, Azure AI services, and related technologies.

· Establish enterprise AI architecture standards, patterns, and best practices for secure, scalable, reliable, and well-governed solution design.

· Analyze business processes and workflows to determine where AI, automation, agents, predictive analytics, or traditional software solutions can deliver the most value.

· Design and oversee RAG solutions, knowledge management systems, intelligent search platforms, and AI-powered assistants built on enterprise data sources.

· Work with software engineering teams to integrate AI capabilities into existing applications, APIs, mobile solutions, and business systems.

Minimum Requirements

Education

· Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data Science, or a related field.

· Equivalent combination of education and relevant experience may be considered.

Experience

· 5+ years of experience in software development, systems architecture, cloud architecture, data engineering, or related technology roles.

· 2+ years of experience designing and implementing cloud-based solutions.

· 2+ years of experience designing, implementing, or supporting Artificial Intelligence, Machine Learning, Generative AI, Copilot, or Large Language Model (LLM) solutions.

· Demonstrated experience leading technical projects and providing architectural guidance across cross-functional teams.

Technical Knowledge

· Experience with one or more major cloud platforms, preferably Microsoft Azure.

· Experience with AI and generative AI technologies, including:

o Large Language Models (LLMs)

o Retrieval-Augmented Generation (RAG)

o AI Agents

o Prompt Engineering

o Vector Databases

· Experience integrating enterprise applications using APIs, web services, and cloud services.

· Experience with databases and data platforms, including relational and non-relational systems.

· Experience with software development using modern programming languages such as C# (preferred), Python, Java, or similar technologies.

· Understanding of cybersecurity, identity management, data protection, privacy, and compliance requirements.

· Experience building solutions using Microsoft Copilot and Azure Foundry.

Professional Skills

· Strong analytical and problem-solving skills.

· Excellent written and verbal communication skills.

· Ability to translate business objectives into technical solutions.

· Ability to present recommendations and architectural designs to technical and executive audiences.

· Proven ability to lead technical discussions, influence stakeholders, and drive technology adoption.

Physical and Other Requirements

Sitting in front of a computer for extended periods of time

This is not a Department of Transportation safety-sensitive position.

Education

· Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data Science, or a related field.

· Equivalent combination of education and relevant experience may be considered.

Experience

· 5+ years of experience in software development, systems architecture, cloud architecture, data engineering, or related technology roles.

· 2+ years of experience designing and implementing cloud-based solutions.

· 2+ years of experience designing, implementing, or supporting Artificial Intelligence, Machine Learning, Generative AI, Copilot, or Large Language Model (LLM) solutions.

· Demonstrated experience leading technical projects and providing architectural guidance across cross-functional teams.

Technical Knowledge

· Experience with one or more major cloud platforms, preferably Microsoft Azure.

· Experience with AI and generative AI technologies, including:

o Large Language Models (LLMs)

o Retrieval-Augmented Generation (RAG)

o AI Agents

o Prompt Engineering

o Vector Databases

· Experience integrating enterprise applications using APIs, web services, and cloud services.

· Experience with databases and data platforms, including relational and non-relational systems.

· Experience with software development using modern programming languages such as C# (preferred), Python, Java, or similar technologies.

· Understanding of cybersecurity, identity management, data protection, privacy, and compliance requirements.

· Experience building solutions using Microsoft Copilot and Azure Foundry.

Professional Skills

· Strong analytical and problem-solving skills.

· Excellent written and verbal communication skills.

· Ability to translate business objectives into technical solutions.

· Ability to present recommendations and architectural designs to technical and executive audiences.

· Proven ability to lead technical discussions, influence stakeholders, and drive technology adoption.

· Partner with business and technology leaders to identify, assess, and prioritize AI opportunities that improve efficiency, productivity, and business results.

· Lead the architecture, design, and delivery of enterprise AI solutions using large language models, AI agents, generative AI, machine learning, Microsoft Copilot, Azure AI services, and related technologies.

· Establish enterprise AI architecture standards, patterns, and best practices for secure, scalable, reliable, and well-governed solution design.

· Analyze business processes and workflows to determine where AI, automation, agents, predictive analytics, or traditional software solutions can deliver the most value.

· Design and oversee RAG solutions, knowledge management systems, intelligent search platforms, and AI-powered assistants built on enterprise data sources.

· Work with software engineering teams to integrate AI capabilities into existing applications, APIs, mobile solutions, and business systems.