Title: Sr. Software Engineer - AI Innovation Team Location: Remote, WA Job Description: 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. PAY RANGE The Target Pay Range for this position is $141,800.00-$173,300.00 annually. The full Pay Range is $110,100.00 - $204,900.00 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. BENEFITS – because people helping people starts with supporting you - 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 IMPACT YOU’LL MAKE: 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, ID, 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. WHAT YOU’LL DO: - 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 r‑elated 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 integration, participating in learning sessions, and supporting a continuous learning environment around evolving AI technologies. QUALIFICATIONS: Minimum Qualifications - 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. - Knowledge of secure coding standards, test‑driven development, and responsible AI practices, including validating, monitoring, and safeguarding model outputs. - Demonstrated effective 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. Desired Qualifications - 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. WHAT YOU’LL GAIN: - Meaningful Impact: Shape how AI capabilities are embedded into real-world enterprise applications. - Technical Growth: Work with evolving AI technologies, from generative AI to modern ML pipelines and cloud platforms. - Leadership Opportunities: Mentor others, influence coding standards, and help define the technical direction for AI initiatives. - Collaborative Culture: Partner with cross-functional teams to solve complex problems and drive innovation together. - Continuous Learning: Stay at the forefront of AI advancements through hands-on experimentation and shared knowledge. JOIN THE JOURNEY: If you’re passionate about building intelligent systems, solving complex challenges, and helping teams unlock the power of AI, this is your opportunity to make a lasting impact. Bring your expertise, curiosity, and drive to help shape the future of AI enabled innovation. EEO Statement: BECU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.

• Construir fluxos de trabalho de agentes de IA para vendas externas, incluindo qualificação de leads, divulgação, gerenciamento de respostas, monitoramento de desempenho e transição humana. • Conectar enriquecimento de dados, pontuação de leads, filas de campanha, fluxos de trabalho de CRM e feedback em um sistema operacional repetível. • Usar Python, SQL e APIs para construir ferramentas, integrações e automações. • Trabalhar com dados do BigQuery e CRM para definir ICPs, segmentar leads, pontuar comerciantes e monitorar o desempenho do funil. • Realizar experimentos GTM com hipóteses, grupos controle, métricas e critérios de matar/escala. • Criar jornadas外 contextuais usando dados de comerciantes, provas locais e relevância comercial. • Colaborar com Vendas, Crescimento, Dados e Operações para transformar feedback de campo em melhorias no sistema. • Documentar prompts, especificações, playbooks, experimentos e aprendizados.

• Define what AI the enterprise will and will not use, on what basis, and under what conditions. • Define what decisions the enterprise is willing to delegate to AI, where humans must remain in the loop, where humans review after the fact, and where AI can act autonomously. • Establish the intake process for AI use cases, including AI impact assessments and risk classification. • Establish who is accountable when AI acts, including model and use case owners in the business, independent risk and compliance review, and audit assurance. • Define how the enterprise governs third-party and vendor AI, including procurement criteria, vendor assessment standards, contractual terms, and ongoing review. • Serve as the primary governance advisor to VP- and Director-level stakeholders; translate strategic intent into actionable governance commitments. • Lead the engagement team and own both the engagement roadmap and engagement deliverables from development to adoption.

• Desenvolver e evoluir soluções utilizando Inteligência Artificial Generativa e Large Language Models (LLMs). • Projetar e implementar agentes inteligentes e fluxos baseados em arquiteturas multiagentes. • Desenvolver APIs e serviços backend para integração de soluções de IA com sistemas corporativos. • Contribuir para definições arquiteturais, boas práticas de engenharia e evolução da plataforma de IA. • Atuar na implementação de soluções baseadas em RAG (Retrieval-Augmented Generation), Prompt Engineering e avaliação de modelos. • Promover qualidade, observabilidade, segurança e escalabilidade das soluções desenvolvidas. • Colaborar com times multidisciplinares e stakeholders na definição e evolução de soluções alinhadas às necessidades do negócio. • Apoiar tecnicamente o time na resolução de desafios complexos e na adoção de novas tecnologias relacionadas à IA.