Senior AI Engineer – GenAI & Production

Alaska Airlines; SeaTac (WA); On-site; USD 118,000 - 177,000; Full time

Benefits offered by this job

Stand-by travel privileges

Well-being programs

401k match

Annual bonus

Paid time off

Job summary

Alaska Airlines is seeking a Senior AI Engineer in Seattle to act as a subject-matter expert in applied AI and ML systems, including generative AI and agentic technologies. You will influence architecture, design, testing, and production deployment while aligning with safety, security, and enterprise standards.

As an individual contributor, you will mentor engineers, translate business needs into technical designs, and drive opportunities across the enterprise to improve operational efficiency

Qualifications

• 4 years of software development experience in one or more programming languages.
• Bachelor’s degree in CS or equivalent or 2 years of relevant training/experience in lieu of degree.
• Experience in Java, Python, Golang or C++ and JavaScript/TypeScript, HTML, CSS.

Responsibilities

• Build and ship AI/GenAI solutions delivering measurable business value.
• Design and optimize generative AI systems with safety and security standards.
• Exercise judgment in AI product decisions from architecture to production deployment.
• Translate business needs into technical designs for enterprise systems.
• Influence best practices for data residency, observability, and system reliability.
• Mentor engineers and share knowledge to foster innovation.
• Improve the AI platform to enable self-service value delivery.

Skills

4 years software development

CS degree or equivalent

Java, Python, Golang or C++

JavaScript/TypeScript, HTML, CSS

Interpersonal skills

Professionalism & customer service

High school diploma or equivalent

Authorized to work in the U.S.

Education

Bachelor’s degree in computer science or equivalent

Master’s degree in CS or related field

Job description

Alaska Airlines is seeking a Senior AI Engineer in Seattle to act as a subject-matter expert in applied AI and ML systems, including generative AI and agentic technologies. You will influence architecture, design, testing, and production deployment while aligning with safety, security, and enterprise standards.

As an individual contributor, you will mentor engineers, translate business needs into technical designs, and drive opportunities across the enterprise to improve operational efficiency