Principal Artificial Intelligence Software Engineer

Company
Alaska Airlines
The Team

Guided by our purpose, core values, and leadership principles, we are creating an airline people love. Our corporate teams set the strategies and operational plans to ensure the success of our company. Whether we use our expertise in accounting, human resources, finance, planning, legal, marketing, or any of our operational divisions, our shared passion for travel and our guests is what motivates us to achieve excellence each day. If you share our passion for creating an airline people love, we want to hear from you.

Role Summary

The Principal Artificial Intelligence (AI) Software Engineer role is the sole subject matter expert in production-grade AI systems, platform architecture, and applied AI governance, As an individual contributor, this role defines long-term strategy for AI adoption, technical standards, and cross-functional integration and exercises considerable latitude and initiative to solve highly ambiguous, high-impact challenges that advance Alaska Airlines’ operational excellence, commercial differentiation, and AI maturity.

Key Duties

• Architect and lead end-to-end development and deployment of AI solutions leveraging LLMs, 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, maintaining ownership of system performance, reliability, and continuous improvement of AI capabilities.
• Exercise considerable latitude and initiative to solve ambiguous, high-impact challenges where problem definition, solution approach, and success criteria require 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, sourcing strategies including build, buy, or partner approaches, and sequencing of AI initiatives based on business impact, technical feasibility, and organizational readiness, setting direction that shapes how AI is delivered across Alaska.
• Influence across company and several levels up to lead cross-functional prioritization and adoption of AI initiatives by influencing stakeholders across IT, business, and governance, risk, and compliance teams to ensure secure, compliant integration into enterprise systems.
• Partner with Product Management and business leaders to integrate AI/GenAI solutions into product roadmaps, ensuring technical feasibility and business value alignment.
• Ensure production excellence by implementing monitoring, evaluation frameworks, and optimization strategies that enable AI systems to 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 capabilities of the AI Engineering Team.
• Drive innovation through AI research and experimentation including evaluation of emerging technologies, new data sources, and advanced methodologies, with presentation of findings to executive leadership.

Job-Specific Experience, Education & Skills

Required  

• 7 years of experience in software development experience with demonstrated expertise in multiple programming languages (Python, Java, Golang, C++, or similar).
• Bachelor’s degree with a focus in Computer Science or an additional two years of relevant training/experience in lieu of this degree.
• High school diploma or equivalent.
• Minimum age of 18.
• Must be authorized to work in the U.S.

Preferred 

• 3+ years of experience leading technical architecture and design decisions for large-scale distributed systems, with demonstrated ability to evaluate emerging technologies and drive strategic platform investments through build vs buy decisions.
• 5+ years of experience designing, delivering, and operating ML/AI systems in production, including at least 2 years with Generative AI (LLMs, multi-modal models, agent frameworks, tool-calling, workflow orchestration systems).
• 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.
• Master's degree or PhD in Computer Science or 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.
• Track record of evaluating build vs buy decisions and successfully adopting emerging AI technologies (e.g., transformer-based models, agentic tool-use patterns, embedded inference) with measurable business impact.
• Experience upskilling engineering and product teams from traditional software development to AI native workflows.
• Experience developing accessible technologies.

Job-Specific Leadership Expectations

Embody our values to own safety, do the right thing, be caring and kind, and deliver performance.

Salary Range
$141,250-$211,900 / year
Salary Details

Pay will be based on multiple factors, including and not limited to location, relevant experience/level and skillset while balancing internal equity relative to other Alaska/Hawaiian/Horizon employees. Alaska/Hawaiian/Horizon is committed to fair, unbiased compensation along with competitive benefits in all locations in which we operate.

Note: We don’t typically hire at the top of the range.

Total Rewards

Alaska Airlines, Hawaiian Airlines and Horizon Air pay and benefits can vary by company, location, number of regularly scheduled hours worked, length of employment, and employment status.

• Free stand-by travel privileges on Alaska Airlines, Hawaiian Airlines & Horizon Air
• Comprehensive well-being programs including medical, dental and vision benefits
• Generous 401k match program
• Annual bonus plans
• Generous holiday and paid time off

For more information about Alaska/Hawaiian/Horizon Total Rewards please visit our career site and view benefits.

Regulatory Information

Equal Employment Opportunity Policy Statement  

It is the policy of Alaska Airlines, Hawaiian Airlines and Horizon Air to comply with all applicable federal, state and local laws governing nondiscrimination in employment and to ensure equal opportunity in all terms, conditions, and benefits of employment or potential employment.

We also prohibit discrimination and harassment against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, veteran status, genetic information and other legally protected categories.

We have established an EEO Compliance Program under Section 503 of the Rehabilitation Act of 1973 (“Section 503”) and the Vietnam Era Veteran’s Readjustment Assistance Act of 1974 (“VEVRAA”).  All applicants and employees are treated without regard to their race, color, religion, sex, national origin, disability or protected veteran status. In addition, we have established an audit and reporting system to allow for effective measurement of its equal employment opportunity activities.

To implement this policy, we will:

(1) Recruit, hire, train and promote qualified persons in all job titles, without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information and any other legally protected categories;

(2) Ensure that employment decisions are based only on valid job requirements; and

(3) Ensure that all personnel actions and employment activities such as compensation, benefits, promotions, layoffs, return from layoff, Alaska Airlines, Hawaiian Airlines and Horizon Air sponsored programs, and tuition assistance will be administered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information and other legally protected categories.

Employees and applicants for employment will not be subjected to harassment, intimidation, threats, coercion or discrimination because they have engaged or may engage in (1) filing a complaint, (2) opposing any act or practice made unlawful by, or exercising any other right protected by, any Federal, State or local law requiring equal opportunity, including Section 503 and the equal opportunity provisions of VEVRAA, or (3) assisting or participating in any investigation, compliance evaluation, hearing, or any other activity related to the administration of any Federal, State or local law requiring equal opportunity, including Section 503 and the equal opportunity provisions  of VEVRAA.

Government Contractor & Department of Transportation (DOT) Regulations 
Alaska Airlines, Hawaiian Airlines & Horizon Air are regulated by the Department of Transportation (DOT – regulations, 49 CFR part 40) and all applicants are advised that post-offer and/or pre-employment drug testing will be conducted to determine the presence of marijuana, cocaine, opioids, phencyclidine (PCP) and amphetamines or a metabolite of these drugs prior to any offer or employment or transfer into a safety-sensitive position. Failure to submit to testing or positive indications of drug use will render the applicant ineligible for employment with Alaska Airlines/Hawaiian Airlines/Horizon Air and any employment offer will be withdrawn.

FLSA Status
Exempt
Employment Type
Full-Time
Regular/Temporary
Regular
Requisition Type
Management
Location
Seattle - Hub
L:
#LI-B

The Principal Artificial Intelligence (AI) Software Engineer role is the sole subject matter expert in production-grade AI systems, platform architecture, and applied AI governance, As an individual contributor, this role defines long-term strategy for AI adoption, technical standards, and cross-functional integration and exercises considerable latitude and initiative to solve highly ambiguous, high-impact challenges that advance Alaska Airlines’ operational excellence, commercial differentiation, and AI maturity.

• Architect and lead end-to-end development and deployment of AI solutions leveraging LLMs, 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, maintaining ownership of system performance, reliability, and continuous improvement of AI capabilities.
• Exercise considerable latitude and initiative to solve ambiguous, high-impact challenges where problem definition, solution approach, and success criteria require 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, sourcing strategies including build, buy, or partner approaches, and sequencing of AI initiatives based on business impact, technical feasibility, and organizational readiness, setting direction that shapes how AI is delivered across Alaska.
• Influence across company and several levels up to lead cross-functional prioritization and adoption of AI initiatives by influencing stakeholders across IT, business, and governance, risk, and compliance teams to ensure secure, compliant integration into enterprise systems.
• Partner with Product Management and business leaders to integrate AI/GenAI solutions into product roadmaps, ensuring technical feasibility and business value alignment.
• Ensure production excellence by implementing monitoring, evaluation frameworks, and optimization strategies that enable AI systems to 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 capabilities of the AI Engineering Team.
• Drive innovation through AI research and experimentation including evaluation of emerging technologies, new data sources, and advanced methodologies, with presentation of findings to executive leadership.