Sr. Software Engineer - AI Innovation Team

Is it surprising to hear that a financial institution of 1.5 million members and over $30 billion in managed assets say that success comes from focusing on people, not profits?

Our “people helping people” philosophy has guided us since 1935, driving our deep commitment to serving our members, communities, and each other. When you join our team, you become part of a purpose‑driven organization where your work makes a real difference.

While we’re proud of our history, we’re even more excited about our future. With business and technology transformation on the horizon, there’s never been a better time to be part of BECU.

You bring more than your expertise to your role, and that matters here. Your story, perspectives, and lived experiences help shape belonging at BECU and deepen how we connect with and support our employees, our members, and our communities.

The Target Pay Range for this position is $–$ annually. The full Pay Range is $–$ annually. At BECU, compensation decisions are determined using factors such as relevant job‑related skills, experience, and education or training. Should an offer for employment be made, we will consider individual qualifications. In addition to your salary, compensation incentives are available for the hired applicant. Incentives are performance based and targets vary by role.

• 401(k) Company Match (up to 3%)
• 4% annual contribution to your 401(k) by BECU
• Medical, Dental and Vision (family contributions as well)
• PTO Program + Exchange Program
• Tuition Reimbursement Program
• BECU Cares volunteer time off + donation match

As a Sr. AI Software Engineer, you’ll play a key role in bringing advanced AI capabilities into applications that matter. You’ll design and optimize scalable, secure, and maintainable software solutions while shaping how AI technologies are adopted across our organization. From integrating machine learning models and generative AI services to guiding best practices and architecture decisions, your work will directly influence performance, innovation, and long‑term technical direction.

To join our dynamic team, we require candidates to be residents of WA, OR, , AZ, TX, GA, SC, VA, CA, or NC. If you’re located in Washington state and within a reasonable driving distance from Tukwila, we are requesting that you come into our HQ on Tuesdays & Wednesdays. For those candidates that live outside the commute distance of TFC and in any of our approved remote work locations, this role will be remote.

Remote or onsite, we are committed to ensuring you are fully engaged and included in our collaborative environment.

• Build AI‑Powered Features:
  Develop and implement moderate to complex application features and services, including high‑impact components that integrate AI/ML models or AI service APIs.
• Design Scalable Systems:
  Design scalable, maintainable, and secure solutions, ensuring AI systems align with long‑term strategies and enterprise standards.
• Champion Engineering Excellence:
  Write high quality, well‑tested code and guide peers in adopting best practices for AI workflow integration, model interaction, and external AI‑service management.
• Troubleshoot AI Performance:
  Conduct advanced troubleshooting of AI‑related issues, such as model performance degradation, inference bottlenecks, prompt optimization challenges, and data pipeline inconsistencies.
• Drive Innovation Opportunities:
  Identify transformative opportunities in AI integration patterns, automation strategies, development tools, and deployment pipelines. Mentor junior staff in AI technologies, coding practices, and decision‑making.
• Ensure Quality & Reliability:
  Perform unit testing and identify defects in traditional and AI‑augmented code paths to strengthen shared ownership of application and AI integration quality.
• Collaborate Cross‑Functionally:
  Partner with cross‑functional teams to evaluate new AI capabilities, assess technical feasibility, and contribute to the roadmap for AI‑enabled features and platforms.
• Share Knowledge:
  Share knowledge and best practices within the team by documenting patterns for AI…