Visa Director, Software Engineering - GenAI \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Director, Software Engineering - GenAI Full-time Job Family Group: Engineering and Technology Company Description Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters to you, to your community, and to the world. Progress starts with you. Job Description Visas Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate one of the worlds most sophisticated global transaction networksprocessing more than 65,000 secure transactions per second across 80 million merchants, 15,000 financial institutions, and billions of people worldwide. As part of our AIFirst Innovation team, you will help define and deliver transformative intelligencedriven products that unlock new payment experiences, new business flows, and new capabilities across Visas ecosystem. The Opportunity: We are seeking a versatile, curious, and impactdriven Lead Solutions Architect who thrives at the intersection of AI, distributed systems, and largescale customer impact. In this role, you will lead the execution of nextgeneration AIpowered solutionspartnering closely with engineering, data science, design, security, and business stakeholders. You will steward development from ideation to scaled deployment, guiding teams to build intelligent, resilient, and trustworthy systems that serve Visas global network. The Work Itself: Translate complex business challenges into clear engineering roadmaps, user requirements, and technical specifications that enable breakthrough innovation across payment flows, fraud intelligence, data products, and realtime commerce platforms. Lead the experimentation pipeline, evaluating new technologies, model types, LLMbased features, and platform capabilitiesand guiding teams through proofofconcepts, pilots, and scaled launches. Implement innovations for AInative capabilities that touch 40% of the worlds population, setting new standards for scalability, security, explainability, and reusability. Drive crossfunctional collaboration, ensuring model developers, platform engineers, UX teams, and product partners align on architecture, capabilities, and success metrics. Champion product quality and operational resilience, identifying systemic patterns across data, model performance, bugs, and user frictionand driving durable solutions. Shape Visas nextgeneration AI ecosystem, leveraging cloudnative and modern AI/ML technologies to build robust, privacypreserving, and globally scalable services. Enable global impact, mentoring teams, developing best practices, and contributing to internal learning programs to elevate Visas AI maturity and experimentation culture. Essential Functions: Provide deep technical leadership across AI, data platforms, and largescale distributed systemsdirecting strategy for how requirements are collected, evaluated, and transformed into decisive product direction. Lead structured discovery with product, engineering, and business stakeholders to recommend architectures, model integration patterns, and scalable design strategies. Establish and maintain standards for responsible AI, including data quality, model testing, explainability, observability, and endtoend governance. Lead planning and implementation for new AI capabilities and intelligent features, ensuring seamless integration into Visas global platforms and customer experiences. Analyze performance patterns, customer signals, and model behavior to implement systemic improvements and longterm product enhancements. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications: 10+ years of relevant work experience and a Bachelors degree, OR 13+ years of relevant work experience Preferred Qualifications: 12 or more years of work experience with a Bachelors Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD AIfirst mindsetcuriosity, experimentation, and a passion for applying intelligent technologies to solve global-scale problems. Hands-on Product leadership with technical depth, including experience driving AI/ML, data, cloud, or highlydistributed system products. Hands-on experience with emerging technologies, including Generative AI and Machine Learning Ability to challenge the status quo, with comfort ideating beyond traditional solutions and guiding teams through ambiguity. Understanding of modern engineering and ML stacks, including familiarity with languages and frameworks such as Python, Java, C++, containers, Kubernetes, LLM APIs, vector databases, and realtime data systems. Experience shipping modern products with a focus on scalability, reliability, and measurable customer value. Continuous learning mindset, staying current with emerging AI technologies, MLOps patterns, and modelbased product architectures. Strong crossfunctional collaboration, working closely with Product, Engineering, Data Science, UX, DevOps, and Agile/Scrum teams. Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer.  Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.  Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for this position is 186,800.00 to 299,200.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. I'm interested I'm interestedPrivacy NoticeCookies Settings I'm interested Refer a friend Posted by Cementry Carter share this job Share on LinkedIn Share on Facebook Share on Twitter Share via email Share on Xing Share on WeChat Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. Director, Software Engineering - GenAI Bellevue, WA Full-time I'm interested I'm interested

The role requires at least 10 years of relevant work experience and a Bachelor's degree, or 13 years of relevant work experience. Alternatively, 12 or more years of work experience with a Bachelor's Degree, or 8-10 years of experience with an Advanced Degree, or 6+ years of work experience with a PhD are acceptable. An AI-first mindset with curiosity and a passion for applying intelligent technologies is essential. Hands-on product leadership with technical depth in AI/ML, data, cloud, or highly distributed systems is required. Experience with emerging technologies like Generative AI and Machine Learning is also necessary. The candidate should be able to challenge the status quo and guide teams through ambiguity.