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Alaska Air Group

Airline group connecting global destinations

Principal Artificial Intelligence Software Engineer

Full-TimeDeadline 10/4/27
$141.3k - $211.9k/yr+ Annual bonus
Senior
Bachelor's, Master's, PhD
SeaTac, WA, USA
In Person
Software EngineeringAI Application Engineering

About the job

Requirements
  • Seven years of software development experience, with demonstrated expertise in multiple programming languages such as Python, Java, Golang, C++, or similar.
  • A bachelor's degree focused in Computer Science, or an additional two years of relevant training or experience in lieu of the degree.
  • A high school diploma or equivalent.
  • Must be at least 18 years old.
  • Must be authorized to work in the United States.
Responsibilities
  • Architect and lead end-to-end development and deployment of AI solutions using large language models, generative AI, and agentic technologies, establishing reusable architectures and patterns that drive automation, operational efficiency, and strategic business outcomes.
  • Design and build the AI platform that enables organizational self-service, and maintain ownership of system performance, reliability, and continuous improvement of AI capabilities.
  • Solve ambiguous, high-impact challenges through significant discovery, including scaling AI from pilot to production, integrating AI into legacy operational systems, and defining governance approaches for novel AI use cases.
  • Make decisions on technical architecture, build/buy/partner sourcing strategies, and sequencing of AI initiatives based on business impact, technical feasibility, and organizational readiness; set direction for AI delivery across the company.
  • Lead cross-functional prioritization and adoption of AI initiatives by influencing stakeholders across IT, business, governance, risk, and compliance teams to ensure secure and compliant integration into enterprise systems.
  • Partner with Product Management and business leaders to integrate AI and generative AI solutions into product roadmaps, ensuring technical feasibility and alignment with business value.
  • Implement monitoring, evaluation frameworks, and optimization strategies so production AI systems meet or exceed performance targets and deliver measurable business results.
  • Develop technical talent and set engineering standards through mentorship, technical leadership, and knowledge sharing that elevates the AI Engineering Team's capabilities.
  • Drive AI research and experimentation by evaluating emerging technologies, new data sources, and advanced methodologies, and present findings to executive leadership.
Desired Qualifications
  • At least three years of experience leading technical architecture and design decisions for large-scale distributed systems, including evaluating emerging technologies and driving strategic platform investments through build-versus-buy decisions.
  • At least five years of experience designing, delivering, and operating production ML/AI systems, including at least two years with generative AI such as LLMs, multimodal models, agent frameworks, tool-calling, or workflow orchestration systems.
  • A demonstrated track record of leading cross-functional AI initiatives from concept through production adoption and scaling, including establishing monitoring, evaluation frameworks, and continuous improvement practices.
  • A Master's degree or PhD in Computer Science or a related technical field.
  • Experience designing ML/AI platforms that serve organization-wide product and engineering teams.
  • Published research, patents, technical blog posts, or conference presentations on AI/ML systems and architectures.
  • Experience implementing AI governance frameworks, including security controls, risk assessment, and adherence to industry standards.
  • A track record of evaluating build-versus-buy decisions and successfully adopting emerging AI technologies, such as transformer-based models, agentic tool-use patterns, or embedded inference, with measurable business impact.
  • Experience upskilling engineering and product teams from traditional software development to AI-native workflows.
  • Experience developing accessible technologies.

About the company

Alaska Air Group is the airline group behind Alaska Airlines, Hawaiian Airlines, and Horizon Air. Its carriers transport passengers and cargo across North America, Central America, Asia, and the Pacific, with additional reach through alliance partners. The group also includes aviation-services operations that support its airline network. The parent profile encompasses multiple airline brands and operating functions across scheduled passenger travel, cargo, regional flying, loyalty partnerships, airport operations, aircraft maintenance, network planning, and aviation support services.

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