Lead AI Automation Engineer

Key Duties
Acts as the lead subject matter expert in AI, automation, and full‑stack software engineering on an agile delivery team, collaborating with product owners, designers, and engineers to deliver business value iteratively.
Coordinates and leads the technical delivery of a team of approximately 7 engineers, including setting technical direction, aligning priorities, planning work, and driving execution through influence.
Acts as the technology SME for AI and automation for product teams, often representing multiple teams to business stakeholders and leadership.
Architects, engineers, tests, and releases highly scalable, secure, and maintainable end‑to‑end solutions, combining:
Custom software and APIs
Cloud‑based AI services (e.g., LLMs, cognitive services, AI Builder)
Microsoft Power Apps and Power Automate workflows.
Ensures delivery of high‑quality software and automation solutions through clean coding practices, pair programming, test‑driven development (TDD), continuous integration, code reviews, and appropriate monitoring and observability for AI‑enabled workflows.
Influences development of technology strategy for AI, automation, and low/no‑code platforms, aligned with department and enterprise goals, and helps teams execute against that strategy.
Partners closely with business stakeholders to understand processes, guest and employee journeys, and operational pain points; translates needs into effective AI‑powered and automated solutions.
Facilitates design sessions, reviews, and demos, clearly communicating trade‑offs and technical concepts to both technical and non‑technical audiences.
Actively engages in the technology industry by applying emerging concepts in AI/ML, large language models, and low/no‑code development, and by networking and speaking on behalf of Alaska at conferences and meetups.
Influences technology and AI maturity across divisions and leadership levels, advocating for responsible AI use, governance, and sustainable automation practices.
Leverages a deep understanding of guest experience, business operations, and systems to mentor engineers and citizen developers across multiple teams.
Job-Specific Experience, Education & Skills
Required
7 years of experience in software engineering or a related area.
Bachelor’s degree with a focus in Computer Science or a related field, or an additional two years of relevant training/experience in lieu of this degree.
Experience must include:
Acting as a full‑stack software engineer building custom, high‑scale, n‑tier applications using object‑oriented languages (e.g., C#, Java, etc.).
Utilizing appropriate design patterns to create clean, maintainable, and performant code.
Expertise utilizing cloud technologies and modern architecture practices to build high‑scale distributed systems.
Leading and coordinating the technical delivery of an engineering team of seven (7) or more engineers, including setting technical direction, mentoring, aligning priorities, and ensuring delivery and quality outcomes.
Hands‑on experience delivering AI‑enabled or advanced automation solutions, such as integrating AI/ML or LLM‑based services into applications or workflows.
Experience building solutions using low/no‑code or workflow automation platforms, preferably Microsoft Power Platform (Power Apps and/or Power Automate).
Strong interpersonal skills and the ability to drive adoption of new ideas and technologies, particularly AI and automation, across engineering and business communities.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Experience with the Microsoft technology stack, including .NET framework, .NET Core, MS SQL, and Azure cloud.
Experience leading large or complex technical initiatives spanning multiple teams or domains.
Experience with containers and container technologies, including Docker, Kubernetes, and OpenShift.
Experience with unit testing and functional test automation (front and back end).
Deep experience with AI/ML, including one or more of:
Large language models (LLMs)
Azure OpenAI Service or Azure Cognitive Services
AI Builder or similar cloud AI platforms
Experience delivering solutions on Microsoft Power Platform, including Power Apps, Power Automate, and custom connectors.
Experience with Site Reliability Engineering (SRE) practices.
Experience with DevOps practices and tools, particularly Azure DevOps.
Experience in Agile development methodologies.
Experience negotiating requirements directly with stakeholders, including leading discovery or design workshops.
Experience enabling and mentoring citizen developers or business power users within a governed low/no‑code environment.

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.