Sr. Software Engineer - AI Innovation Team

BECU•St. David's, WA

2d•$110,100 - $204,900•Hybrid

About The Position

As a Sr. AI Software Engineer on the AI Innovation Team, you will play a crucial role in integrating advanced AI capabilities into applications. You will be responsible for designing and optimizing scalable, secure, and maintainable software solutions, influencing the adoption of AI technologies across the organization. This includes integrating machine learning models and generative AI services, guiding best practices, and making architectural decisions that impact performance, innovation, and long-term technical direction. The role emphasizes a "people helping people" philosophy, focusing on serving members, communities, and employees. BECU is undergoing business and technology transformation, making it an exciting time to join. The company values diverse perspectives and lived experiences to foster belonging and deepen connections. The position is open to residents of WA, OR, ID, AZ, TX, GA, SC, VA, CA, or NC. For those in Washington state near Tukwila, in-office presence on Tuesdays and Wednesdays is requested. For candidates in approved remote locations outside the commute distance of TFC, the role will be remote. Regardless of location, the commitment is to ensure full engagement and inclusion in a collaborative environment.

Requirements

Bachelor’s degree in computer science or equivalent experience.
Minimum 5 years of experience designing software and writing production code in a team environment.
Proficiency in one or more major stacks (e.g., Node.js, TypeScript/React, Python), including demonstrated experience integrating AI/ML services into production applications.
Experience with SQL and cloud platforms (Azure/AWS/GCP), including services used in AI/ML solution development, deployment, monitoring, and optimization.
Strong understanding of secure coding standards, test-driven development, and responsible AI practices, including validating, monitoring, and safeguarding model outputs.
Excellent verbal and written communication skills with the ability to mentor staff and contribute to technical strategy, standards, or best practices.
Proficient in using AI-augmented workflows to streamline coding, debugging, and documentation using AI coding assistants.

Nice To Haves

Experience designing AI enabled architectures or leading AI feature development in production environments.
Knowledge of containers and orchestration (Kubernetes preferred).
Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins, TeamCity).
Deep understanding of TDD and testing methodologies.
Proficiency with Git and branching standards.
Knowledge of ML Ops, vector databases, embedding pipelines, or advanced prompt engineering techniques.

Responsibilities

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, maintainable, and secure solutions, ensuring AI systems align with long-term strategies and enterprise standards.
Write high-quality, well-tested code and guide peers in adopting best practices for AI workflow integration, model interaction, and external AI-service management.
Conduct advanced troubleshooting of AI-related issues, such as model performance degradation, inference bottlenecks, prompt optimization challenges, and data pipeline inconsistencies.
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.
Perform unit testing and identify defects in traditional and AI-augmented code paths to strengthen shared ownership of application and AI integration quality.
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 and best practices within the team by documenting patterns for AI integration, participating in learning sessions, and supporting a continuous learning environment around evolving AI technologies.