The Senior AI Engineer role is a subject matter expert in applied AI and ML systems including generative and agentic technologies at Alaska Airlines and Horizon Air.
Compensation
$117,700-$176,550 / year
Responsibilities
Build and ship AI/GenAI enabled solutions that deliver measurable business value, from rapid full-stack prototypes that validate business demand to robust production systems that automate workflows and drive operational efficiency.
Design and optimize generative AI systems, including LLM- and multi‑modal‑based agents, ensuring continuous alignment with user feedback and enterprise standards for safety, security, and accessibility.
Make recommendations to identify high-impact AI opportunities, translate business needs into technical designs, and integrate solutions seamlessly with existing enterprise systems and data sources.
Influence others to implement best practices for data residency, observability, model evaluation, and system reliability, ensuring AI systems meet enterprise compliance, performance, and cost-efficiency targets.
Foster technical excellence and knowledge sharing by mentoring engineers, documenting and communicating complex concepts clearly to diverse audiences, and contributing to a culture of continuous innovation and experimentation.
Requirements
Bachelor’s degree in Computer Science or equivalent
Master’s degree in Computer Science or related technical field
Nice to have: Generative AI (LLMs, multi modal models)
This Economic Consultant serves as a senior economist on the Labor Market Analysis team in the Bureau of Workforce Statistics and Economic Research (WSER), Division of Workforce Services. The role takes a leading role on projects pertaining to economic, demographic, and employment research and analysis using programming, model building, statistics, and regression techniques.
Compensation
$55,000 - $65,000 annually
Responsibilities
Conduct complex economic research studies and analysis
Compile economic data for various assignments
Distribute and/or present information to the public
Research appropriate data sources and methodologies for major quantitative and qualitative research projects
Maintain up to date on existing and new resources including data sources, methodologies, research findings, and software tools
Lead DevOps engineering for Impact Level 6 environments, ensuring operational stability, security, and performance of cloud-based infrastructure and applications.
Responsibilities
Create and maintain Impact Level 6 cloud environments
Implement continuous monitoring and troubleshooting
Principal Software Engineer in the DoD Cyber Workforce Framework, responsible for low-level code development, reverse engineering, and vulnerability analysis.
Responsibilities
Design, develop, and test custom software utilities and scripts to satisfy operational cyber requirements.
Write and maintain scalable, robust code utilizing C, C++, Python, and Assembly language.
Analyze software binaries and malware to dissect functions, isolate anomalies, and identify exploitable hardware/software flaws.
Conduct rigorous software containment, isolation, and testing utilizing sandboxes and virtualization environments.
Provide technical peer reviews of code repositories and mentor junior developers.
Requirements
Bachelor's degree
Nine years of work experience
Master's degree
Seven years of work experience
Four years additional work experience in lieu of degree
SkyWater is hiring a highly skilled and experienced Semiconductor Yield Senior Principal Engineer to lead the integration of new technologies into our fab focusing on optimizing yield and quality.
Locations (3)
Bloomington, Minnesota, United States
Florida, United States
Texas, United States
Compensation
The annual salary range for this role is $158,960 - $238,440.
Responsibilities
Lead the development and implementation of strategies for integrating new semiconductor technologies into the fab environment.
Collaborate closely with cross-functional teams, including process engineers, device engineers, and manufacturing teams, to ensure seamless technology transfer and successful ramp-up to production.
Design and execute experiments to characterize new processes and technologies, identifying potential yield-limiting factors and developing solutions to address them.
IT Programmer (SQL/Business Intelligence) / Developer (SQL,BI, Data) / Data Engineer
Develop and maintain BI and reporting systems, upgrade data environment, design ETL processes, build SSAS models, create SSRS and Power BI reports, optimize SQL Server performance, and implement data modeling best practices.
Compensation
Hiring Range: CAD $64,393 - $90,082
Bonus: This position is eligible for a bonus up to 8% of base salary subject to the plan terms and conditions.
Responsibilities
Design, develop and maintain efficient ETL processes from various data sources
Design, develop, and maintain SSAS multidimensional and tabular models
Execute a comprehensive business intelligence strategy
Develop and implement a unified data model
Develop visually engaging reports and dashboards using SSRS and Power BI
Requirements
Bachelor's degree in Computer Science, Information Technology, or related work experience
Design, develop, test and maintain scalable full‑stack applications across frontend, backend and API layers, collaborating with product, architecture, infrastructure, security and delivery teams to build reliable customer and colleague‑facing solutions.
Responsibilities
Design, develop, test and maintain scalable full‑stack applications, including frontend, backend services, RESTful APIs, microservices and cloud‑based solutions.
Integrate applications with internal platforms, databases and third‑party services, including secure authentication, authorization, session management and API integration.
Develop reusable, maintainable software aligned with design patterns, engineering standards and automated unit, integration and API testing practices.
Support application performance, resilience, monitoring and operational stability by troubleshooting production issues, performing root‑cause analysis and contributing to incident resolution.
Collaborate with DevOps teams on CI/CD pipelines, automated deployments and environment management.
Lead the design, development, and delivery of AI-powered applications and intelligent solutions across global engagements, leading teams of Full-Stack AI Engineers and translating client requirements into scalable solutions.
Responsibilities
Design and deliver enterprise AI applications leveraging Generative AI, LLMs, AI Agents, and RAG architectures.
Architect and integrate AI services, cloud platforms, APIs, and enterprise applications into scalable solutions.
Lead teams building AI applications using Python, React, backend APIs, microservices, and cloud-native technologies.
Drive adoption of SDLC, DevOps, CI/CD, MLOps, and AI Engineering best practices.
Translate business requirements into practical AI solutions and lead client workshops and presentations.