Jobs at Alaska Airlines & Horizon Air

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 Manager, AI is responsible for executing strategy for the development and deployment of AI and machine learning solutions, including Generative AI (GenAI), to optimize Alaska Airlines' performance across system operations, flight operations, inflight services, maintenance and engineering, airport operations, scheduling, network planning, marketing, and revenue management at Alaska Air Group (AAG). As a people leader, this role provides technical leadership, mentors a team of data scientists, and collaborates with cross-functional stakeholders to ensure scalable and efficient AI solutions.

Key Duties

• Lead the development and deployment of AI and machine learning models, including GenAI-powered applications, to enhance operational efficiency and revenue optimization.

• Oversee the full data science development lifecycle, ensuring best practices in model training, evaluation, deployment, and monitoring.

• Develop and integrate GenAI models for text generation, summarization, conversational AI, and content creation to support automation and decision-making processes.

• Collaborate with Data Engineering, MLOps, ITS, and business stakeholders to integrate AI and GenAI solutions into enterprise systems.

• Ensure best practices in model deployment, monitoring, and performance optimization.

• Establish scalable AI frameworks and reusable model architectures to accelerate solution deployment.

• Guide the adoption of MLOps practices for both traditional and GenAI model deployment, versioning, monitoring, and retraining.

• Stay current with advancements in LLMs (Large Language Models), multimodal AI, and transformer-based architectures to assess their applicability for business use cases.

• Mentor and develop a team of data scientists, fostering a culture of innovation, continuous learning, and collaboration.

• Present AI and GenAI models and findings to stakeholders, ensuring clear communication of technical concepts.

Job-Specific Experience, Education & Skills

Required

• 5 years of experience in AI, machine learning, or data science, with a proven track record of deploying AI solutions at scale.

• 2 years of people leadership.

• Bachelor’s degree in a relevant field, or an additional 2 years of training/experience in lieu of this degree.

• Proficiency in Python and experience with AI/ML libraries such as TensorFlow, PyTorch, Scikit-Learn, and XGBoost.

• Strong expertise in machine learning, deep learning, and Generative AI (e.g., GPT, BERT, DALL·E, diffusion models, etc.).

• Hands-on experience with cloud platforms (Azure, AWS, or GCP) and AI/ML deployment tools.

• Experience with LLM fine-tuning, retrieval-augmented generation (RAG), and prompt engineering.

• Experience with MLOps practices, including CI/CD for machine learning, model monitoring, and automated retraining.

• Proficiency in Databricks for large-scale data processing and model development.

• Strong understanding of data engineering concepts, including data pipelines, ETL, and feature engineering.

• Excellent problem-solving skills and ability to translate business challenges into AI solutions.

• Effective communication skills, including presenting technical concepts to stakeholders.

• Ability to work cross-functionally and influence technical and business teams.

• High school diploma or equivalent.

• Minimum age of 18.

• Must be authorized to work in the U.S.

Preferred

• Master’s or Ph.D. in AI, Data Science, Computer Science, Industrial Engineering, Statistics, or a related field.

• Experience in developing enterprise-level GenAI applications, including chatbot development, document summarization, and AI-assisted workflows.

• Experience in commercial aviation, logistics, or operational optimization.

• Experience integrating AI and GenAI into production systems and enterprise applications.

• Knowledge of reinforcement learning, causal inference, or advanced statistical modeling techniques.

Job-Specific Leadership Expectations

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

Salary Range

$139,700 - $209,500 / 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/Horizon employees. Alaska/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 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 & Horizon Air

• Comprehensive well-being programs including medical, dental and vision benefits

• Generous 401k match program

• Quarterly and annual bonus plans

• Generous holiday and paid time off

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

FLSA Status Exempt
Employment Type Full-Time
Regular/Temporary Regular
Requisition Type Management
Apply by 7:00 PM Pacific Time on 3/17/2025
Location Seattle - Hub
Regulatory Information Equal Employment Opportunity We are proud to be an Equal Employment Opportunity (EEO) and Affirmative Action (AA) employer that is committed to diversity, equity, and inclusion. We take affirmative action to ensure equal opportunity for all qualified applicants and employees and do not discriminate based upon race, color, religion, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disability status, genetic information (including family medical history), political views or activity, or other legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We may use your information to maintain the safety and security of Alaska Airlines and Horizon Air, its employees, and others as required or permitted by law. People of color, women, LGBTQIA+, immigrants, veterans, and persons with disabilities are encouraged to apply.
Government Contractor & Department of Transportation (DOT) Regulations Alaska 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/Horizon Air and any employment offer will be withdrawn.
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Job Locations USA-WA-SeaTac
Requisition ID 2025-14000
Category Corporate & Operations