About Us 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 Visa's Post Purchase organization is building AI-driven decision intelligence across dispute resolution and recovery products, including RDR, CDRN, VDRN, and Recover. We are seeking a Staff Data Scientist to lead high-impact machine learning initiatives that improve automation, recovery outcomes, and client experience at global scale. This is a Staff-level individual contributor role for someone who thrives in ambiguity, owns complex problem spaces, and drives solutions from concept through production with measurable business impact. You will work with large-scale transactions and dispute data to develop models that enhance decision quality and enable scalable, intelligent systems. Key Responsibilities Define and lead high-impact ML initiatives across dispute decisioning, merchant matching, and recovery prediction Own end-to-end ML lifecycle, including problem framing, feature engineering, model development, deployment, and monitoring Build and productionize scalable models using large-scale transaction and dispute datasets Partner closely with Product, Engineering, and Data Engineering to translate business needs into data-driven solutions Drive adoption of ML solutions through explainability, performance measurement, and stakeholder alignment Develop experimentation frameworks to evaluate and continuously improve model performance Design and implement GenAI/LLM-based solutions for explainability, workflow automation, and decision support Influence product strategy by identifying opportunities to improve automation, efficiency, and customer outcomes Mentor junior team members and contribute to best practices across the data science organization Work Environment Visa requires employees to work in the office 3 days per week. Specific expectations will be confirmed by the Hiring Manager. Qualifications Basic Qualifications: 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience Experience with digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work Preferred Qualifications: 6+ years of experience with a Bachelor's degree or 4+ years with an Advanced degree or up to 3 years with a PhD Advanced degree (MS or PhD) in AI, Computer Science, Statistics, Operations Research, or a related quantitative field Experience applying data science or analytics solutions to solve complex business problems with measurable outcomes Proven track record of commercializing analytical or ML solutions in production environments Strong experience managing or leading end-to-end projects across cross-functional teams Agile experience and ability to manage evolving priorities in dynamic environments Experience working with large-scale datasets and building scalable models Experience with distributed data processing frameworks (e.g., Hadoop, Hive, Spark) Proficiency in programming languages such as Python or R, along with SQL Experience with version control tools such as git or GitHub Hands-on experience applying machine learning and predictive modeling tecniques to business problems Experience in data science, data engineering, or analytics roles in large-scale environments Experience in payments, fraud, risk, disputes, fintech, or transaction-heavy domains Experience working in global organizations with distributed stakeholders Proven ability to lead projects, influence teams, and provide technical thought leadership What Sets This Role Apart Ownership of high-impact, ambiguous problem spaces across Visa's Post Purchase ecosystem Direct influence on ML-driven decision intelligence and product strategy Opportunity to build scalable systems that improve recovery outcomes, automation, and client experience Work at the intersection of AI/ML, product, and platform at global scale Information for US Applicants For roles located in the US, the estimated salary range for this position is $141,100.00 to $ 226,000.00 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. 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 protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
11/14/2026
Full time
About Us 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 Visa's Post Purchase organization is building AI-driven decision intelligence across dispute resolution and recovery products, including RDR, CDRN, VDRN, and Recover. We are seeking a Staff Data Scientist to lead high-impact machine learning initiatives that improve automation, recovery outcomes, and client experience at global scale. This is a Staff-level individual contributor role for someone who thrives in ambiguity, owns complex problem spaces, and drives solutions from concept through production with measurable business impact. You will work with large-scale transactions and dispute data to develop models that enhance decision quality and enable scalable, intelligent systems. Key Responsibilities Define and lead high-impact ML initiatives across dispute decisioning, merchant matching, and recovery prediction Own end-to-end ML lifecycle, including problem framing, feature engineering, model development, deployment, and monitoring Build and productionize scalable models using large-scale transaction and dispute datasets Partner closely with Product, Engineering, and Data Engineering to translate business needs into data-driven solutions Drive adoption of ML solutions through explainability, performance measurement, and stakeholder alignment Develop experimentation frameworks to evaluate and continuously improve model performance Design and implement GenAI/LLM-based solutions for explainability, workflow automation, and decision support Influence product strategy by identifying opportunities to improve automation, efficiency, and customer outcomes Mentor junior team members and contribute to best practices across the data science organization Work Environment Visa requires employees to work in the office 3 days per week. Specific expectations will be confirmed by the Hiring Manager. Qualifications Basic Qualifications: 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience Experience with digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work Preferred Qualifications: 6+ years of experience with a Bachelor's degree or 4+ years with an Advanced degree or up to 3 years with a PhD Advanced degree (MS or PhD) in AI, Computer Science, Statistics, Operations Research, or a related quantitative field Experience applying data science or analytics solutions to solve complex business problems with measurable outcomes Proven track record of commercializing analytical or ML solutions in production environments Strong experience managing or leading end-to-end projects across cross-functional teams Agile experience and ability to manage evolving priorities in dynamic environments Experience working with large-scale datasets and building scalable models Experience with distributed data processing frameworks (e.g., Hadoop, Hive, Spark) Proficiency in programming languages such as Python or R, along with SQL Experience with version control tools such as git or GitHub Hands-on experience applying machine learning and predictive modeling tecniques to business problems Experience in data science, data engineering, or analytics roles in large-scale environments Experience in payments, fraud, risk, disputes, fintech, or transaction-heavy domains Experience working in global organizations with distributed stakeholders Proven ability to lead projects, influence teams, and provide technical thought leadership What Sets This Role Apart Ownership of high-impact, ambiguous problem spaces across Visa's Post Purchase ecosystem Direct influence on ML-driven decision intelligence and product strategy Opportunity to build scalable systems that improve recovery outcomes, automation, and client experience Work at the intersection of AI/ML, product, and platform at global scale Information for US Applicants For roles located in the US, the estimated salary range for this position is $141,100.00 to $ 226,000.00 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. 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 protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About Us 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 Overview: Visa Acceptance Intelligence is the foundation for innovative payment experiences through secure, resilient services and a broad ecosystem of technology and payments partners. We are building on that foundation to help businesses make smarter decisions with data. At Visa, we believe AI can transform how commerce works. Through Acceptance Analytics and Intelligence and Visa Intelligent Commerce, we're developing data products that connect information and surface actionable insights for Visa clients. We are looking for a curious, versatile Senior Applied Scientist to help advance this work. You'll partner with scientists, engineers, product leaders, and business stakeholders to design, build, and evaluate intelligent products-from forecasting and NLP solutions to carefully evaluate applications of large language models (LLMs). You will help turn promising ideas into reliable, useful capabilities for customers. If you enjoy working across research and production, questioning assumptions, and solving meaningful problems at scale, we'd like to meet you. Essential Functions: Develop and evaluate time-series analysis and forecasting approaches for business and payments use cases. Apply NLP and LLM techniques to data and intelligence products, including fine-tuning or other model-adaptation methods when appropriate. Design rigorous evaluation strategies for LLM-powered systems, including task-specific quality measures and assessment of reliability. Explore how LLMs can complement established analytical methods in time-series workflows, selecting techniques based on the problem, data, and evaluation results. Improve data extraction and preparation through data wrangling, complex data modeling, and AI-assisted approaches; raise the quality, completeness, and usability of data. Follow and strengthen data-management and governance practices that support high-quality, dependable products. Translate sophisticated technical and business needs into clear specifications with product owners, business partners, cybersecurity teams, and other collaborators. Identify dependencies across upstream and downstream systems and help shape solutions that work across the platform. Find meaningful patterns across relevant data sources and turn them into insights, product opportunities, and recommendations for future platform improvements. Contribute to technical roadmaps and, where relevant, recommend software upgrades or security remediation. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g., Master's, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor's Degree or 7 or more relevant years of experience with an Advanced Degree (e.g., Master's, MBA, JD, MD) or 3 or more years of experience with a PhD. PhD degree in computer science or relevant area. Experience in solving data problems using data technologies (e.g., Hadoop, Hive, Kafka, Redis, NoSQL, RDBMS). Experience with Big Data and Analytics in general leveraging technologies like Hadoop, Spark, Flink and MapReduce. Information for US Applicants For roles located in the US, the estimated salary range for this position is $162,500.00 to $ 260,400.00 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. 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 protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
11/13/2026
Full time
About Us 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 Overview: Visa Acceptance Intelligence is the foundation for innovative payment experiences through secure, resilient services and a broad ecosystem of technology and payments partners. We are building on that foundation to help businesses make smarter decisions with data. At Visa, we believe AI can transform how commerce works. Through Acceptance Analytics and Intelligence and Visa Intelligent Commerce, we're developing data products that connect information and surface actionable insights for Visa clients. We are looking for a curious, versatile Senior Applied Scientist to help advance this work. You'll partner with scientists, engineers, product leaders, and business stakeholders to design, build, and evaluate intelligent products-from forecasting and NLP solutions to carefully evaluate applications of large language models (LLMs). You will help turn promising ideas into reliable, useful capabilities for customers. If you enjoy working across research and production, questioning assumptions, and solving meaningful problems at scale, we'd like to meet you. Essential Functions: Develop and evaluate time-series analysis and forecasting approaches for business and payments use cases. Apply NLP and LLM techniques to data and intelligence products, including fine-tuning or other model-adaptation methods when appropriate. Design rigorous evaluation strategies for LLM-powered systems, including task-specific quality measures and assessment of reliability. Explore how LLMs can complement established analytical methods in time-series workflows, selecting techniques based on the problem, data, and evaluation results. Improve data extraction and preparation through data wrangling, complex data modeling, and AI-assisted approaches; raise the quality, completeness, and usability of data. Follow and strengthen data-management and governance practices that support high-quality, dependable products. Translate sophisticated technical and business needs into clear specifications with product owners, business partners, cybersecurity teams, and other collaborators. Identify dependencies across upstream and downstream systems and help shape solutions that work across the platform. Find meaningful patterns across relevant data sources and turn them into insights, product opportunities, and recommendations for future platform improvements. Contribute to technical roadmaps and, where relevant, recommend software upgrades or security remediation. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g., Master's, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor's Degree or 7 or more relevant years of experience with an Advanced Degree (e.g., Master's, MBA, JD, MD) or 3 or more years of experience with a PhD. PhD degree in computer science or relevant area. Experience in solving data problems using data technologies (e.g., Hadoop, Hive, Kafka, Redis, NoSQL, RDBMS). Experience with Big Data and Analytics in general leveraging technologies like Hadoop, Spark, Flink and MapReduce. Information for US Applicants For roles located in the US, the estimated salary range for this position is $162,500.00 to $ 260,400.00 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. 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 protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About Us 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 Overview: At Visa, we are reimagining the future of global commerce. The Payment Products Development (PPD) Architecture & Consulting team partners with Product, Engineering, and Business leaders to define technology strategy, architect next-generation payment solutions, modernize platforms, and accelerate innovation across Visa's global payment ecosystem. Our team helps shape the technology foundations that power billions of payment interactions worldwide by simplifying complexity, guiding strategic investments, establishing architecture standards, and enabling scalable, resilient, secure, intelligent, and future-ready solutions. As Visa continues its transformation toward open platforms, cloud-native solutions, and AI-powered experiences, our architects play a critical role in defining the technologies that will power the next generation of payments, commerce, and financial services. Role Summary: As a Lead Systems Architect, you will help define the future of how the world moves money. You will work at the intersection of business strategy, emerging technology, AI innovation, and global-scale engineering, influencing some of Visa's most important technology investments. Your work will help shape products and platforms that process billions of transactions, enable new payment experiences, and power commerce across the globe. In this role, you will: Define architecture strategies, target-state architectures, and technology roadmaps for Visa's strategic payment products and platforms. Lead the design of open, scalable, API-first platforms leveraging cloud-native architectures, event-driven systems, reusable services, and modern integration patterns. Partner with Product, Engineering, Operations, and Business leaders to transform bold ideas into scalable, secure, resilient, and high-performing solutions. Lead architecture consulting engagements, providing strategic guidance, impact assessments, architecture reviews, and technology recommendations for critical initiatives. Drive modernization initiatives that evolve legacy platforms into interoperable, cloud-enabled, developer-friendly ecosystems. Architect and enable AI-native platforms and intelligent solutions utilizing GenAI, agentic workflows, retrieval-augmented generation (RAG), orchestration frameworks, and emerging AI capabilities. Leverage AI and automation to improve engineering productivity, operational efficiency, architecture analysis, and customer experiences. Establish architecture standards, reusable patterns, governance frameworks, and engineering best practices that improve quality, consistency, and speed of delivery. Define and execute proof-of-concept initiatives supporting strategic business objectives, platform modernization, and digital transformation programs. Identify opportunities where emerging technologies can improve scalability, resiliency, security, operational efficiency, or customer experience. Establish success criteria, measurable outcomes, and architectural evaluation frameworks for all POCs. Lead end-to-end POC activities including requirements gathering, solution design, implementation, testing, and executive presentation. Evaluate emerging technologies, develop proofs of concept, and influence Visa's long-term technology direction. Mentor engineers and architects while fostering innovation, collaboration, and technical excellence. Projects You Will Be Part Of: Next-generation payment products and platform modernization initiatives. Open systems transformation programs focused on API enablement, interoperability, ecosystem integration, and platform simplification. AI-native and GenAI-enabled solutions that transform how technology teams design, build, test, deploy, and operate software. Cloud, data, API, and platform transformation programs. Strategic architecture roadmaps supporting Visa's global payment ecosystem. Cross-functional consulting engagements driving innovation, simplification, and business agility. Emerging technology initiatives exploring the future of payments, digital commerce, intelligent systems, and financial services. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 10+ years of relevant work experience with a Bachelor's Degree or at least 7 years of work experience with an Advanced Degree (e.g., Master's, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work experience. Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, OR an equivalent combination of education, training, and work experience. Deep experience designing and evolving large-scale distributed systems, platforms, and enterprise applications in high-availability environments. Strong experience architecting open, API-first, cloud-native systems using industry standards, microservices, event-driven architectures, modern integration patterns, and reusable platform services. Experience in payments, fintech, financial services, commerce, or other highly scaled transaction-processing environments. Experience driving modernization from legacy or tightly coupled systems to scalable, interoperable, and loosely coupled architectures. Demonstrated experience designing, implementing, or enabling AI and GenAI-powered solutions, including intelligent workflows, agentic systems, AI-assisted engineering capabilities, RAG frameworks, or AI-native platform features. Ability to translate business opportunities into practical, scalable technology solutions that deliver measurable customer and business value. Experience defining target-state architectures, technology roadmaps, architecture principles, and engineering standards. Experience influencing technical decisions and collaborating across Product, Engineering, Operations, and executive stakeholders. Strong communication, problem-solving, and relationship-building skills. Passion for innovation, continuous learning, and shaping the future of technology and payments. Preferred Qualifications 12 or more years of work experience with a Bachelor's 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. 12+ years of progressively responsible experience in software engineering, systems architecture, solution architecture, platform engineering, or related technology disciplines. Experience building cloud-native platforms and leveraging platform engineering practices to improve developer productivity and operational excellence. Experience designing AI-native architectures utilizing foundation models, agent orchestration frameworks, vector databases, RAG architectures, AI observability, model governance, and responsible AI principles. Experience leading enterprise modernization initiatives involving cloud transformation, API enablement, platform simplification, or data architecture evolution. Experience developing technology strategy, innovation roadmaps, or architecture guidance for large-scale product organizations. Passion for mentoring others and building strong engineering and architecture communities. Information for US Applicants For roles located in the US, the estimated salary range for this position is $193,800.00 to $ 310,100.00 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. 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 protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
11/11/2026
Full time
About Us 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 Overview: At Visa, we are reimagining the future of global commerce. The Payment Products Development (PPD) Architecture & Consulting team partners with Product, Engineering, and Business leaders to define technology strategy, architect next-generation payment solutions, modernize platforms, and accelerate innovation across Visa's global payment ecosystem. Our team helps shape the technology foundations that power billions of payment interactions worldwide by simplifying complexity, guiding strategic investments, establishing architecture standards, and enabling scalable, resilient, secure, intelligent, and future-ready solutions. As Visa continues its transformation toward open platforms, cloud-native solutions, and AI-powered experiences, our architects play a critical role in defining the technologies that will power the next generation of payments, commerce, and financial services. Role Summary: As a Lead Systems Architect, you will help define the future of how the world moves money. You will work at the intersection of business strategy, emerging technology, AI innovation, and global-scale engineering, influencing some of Visa's most important technology investments. Your work will help shape products and platforms that process billions of transactions, enable new payment experiences, and power commerce across the globe. In this role, you will: Define architecture strategies, target-state architectures, and technology roadmaps for Visa's strategic payment products and platforms. Lead the design of open, scalable, API-first platforms leveraging cloud-native architectures, event-driven systems, reusable services, and modern integration patterns. Partner with Product, Engineering, Operations, and Business leaders to transform bold ideas into scalable, secure, resilient, and high-performing solutions. Lead architecture consulting engagements, providing strategic guidance, impact assessments, architecture reviews, and technology recommendations for critical initiatives. Drive modernization initiatives that evolve legacy platforms into interoperable, cloud-enabled, developer-friendly ecosystems. Architect and enable AI-native platforms and intelligent solutions utilizing GenAI, agentic workflows, retrieval-augmented generation (RAG), orchestration frameworks, and emerging AI capabilities. Leverage AI and automation to improve engineering productivity, operational efficiency, architecture analysis, and customer experiences. Establish architecture standards, reusable patterns, governance frameworks, and engineering best practices that improve quality, consistency, and speed of delivery. Define and execute proof-of-concept initiatives supporting strategic business objectives, platform modernization, and digital transformation programs. Identify opportunities where emerging technologies can improve scalability, resiliency, security, operational efficiency, or customer experience. Establish success criteria, measurable outcomes, and architectural evaluation frameworks for all POCs. Lead end-to-end POC activities including requirements gathering, solution design, implementation, testing, and executive presentation. Evaluate emerging technologies, develop proofs of concept, and influence Visa's long-term technology direction. Mentor engineers and architects while fostering innovation, collaboration, and technical excellence. Projects You Will Be Part Of: Next-generation payment products and platform modernization initiatives. Open systems transformation programs focused on API enablement, interoperability, ecosystem integration, and platform simplification. AI-native and GenAI-enabled solutions that transform how technology teams design, build, test, deploy, and operate software. Cloud, data, API, and platform transformation programs. Strategic architecture roadmaps supporting Visa's global payment ecosystem. Cross-functional consulting engagements driving innovation, simplification, and business agility. Emerging technology initiatives exploring the future of payments, digital commerce, intelligent systems, and financial services. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 10+ years of relevant work experience with a Bachelor's Degree or at least 7 years of work experience with an Advanced Degree (e.g., Master's, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work experience. Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, OR an equivalent combination of education, training, and work experience. Deep experience designing and evolving large-scale distributed systems, platforms, and enterprise applications in high-availability environments. Strong experience architecting open, API-first, cloud-native systems using industry standards, microservices, event-driven architectures, modern integration patterns, and reusable platform services. Experience in payments, fintech, financial services, commerce, or other highly scaled transaction-processing environments. Experience driving modernization from legacy or tightly coupled systems to scalable, interoperable, and loosely coupled architectures. Demonstrated experience designing, implementing, or enabling AI and GenAI-powered solutions, including intelligent workflows, agentic systems, AI-assisted engineering capabilities, RAG frameworks, or AI-native platform features. Ability to translate business opportunities into practical, scalable technology solutions that deliver measurable customer and business value. Experience defining target-state architectures, technology roadmaps, architecture principles, and engineering standards. Experience influencing technical decisions and collaborating across Product, Engineering, Operations, and executive stakeholders. Strong communication, problem-solving, and relationship-building skills. Passion for innovation, continuous learning, and shaping the future of technology and payments. Preferred Qualifications 12 or more years of work experience with a Bachelor's 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. 12+ years of progressively responsible experience in software engineering, systems architecture, solution architecture, platform engineering, or related technology disciplines. Experience building cloud-native platforms and leveraging platform engineering practices to improve developer productivity and operational excellence. Experience designing AI-native architectures utilizing foundation models, agent orchestration frameworks, vector databases, RAG architectures, AI observability, model governance, and responsible AI principles. Experience leading enterprise modernization initiatives involving cloud transformation, API enablement, platform simplification, or data architecture evolution. Experience developing technology strategy, innovation roadmaps, or architecture guidance for large-scale product organizations. Passion for mentoring others and building strong engineering and architecture communities. Information for US Applicants For roles located in the US, the estimated salary range for this position is $193,800.00 to $ 310,100.00 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. 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 protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About Us 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. Visa will accept applications for this role until at least 11-10-2026 Job Description The Opportunity We are seeking a talented and motivated Senior Software Development Engineer to join our Payments Products Development team. As a key member of the team, you will play a critical role in developing cutting-edge solutions, leveraging innovative technologies, and enhancing the capabilities of our platforms. You will quickly grasp and evaluate new ideas and technologies from internal and external sources, then match them to emerging technology and business opportunities while helping build a culture of innovation and engineering excellence. Essential Functions: AI-Enabled Innovative Development: Design, develop, and implement innovative software solutions using generative AI, conversational AI, RAG, and modern integration patterns. Explore new technologies and translate relevant ideas into secure, scalable business solutions. AI System Engineering: Design and integrate AI components into larger platforms, including data preparation, model evaluation, deployment, monitoring, and continuous improvement. Address robustness, quality, security, and operational reliability throughout the lifecycle. Collaborative Engineering: Collaborate with cross-functional teams to deliver complex projects that integrate emerging technologies with existing platforms. Work closely with Product Office, Operations & Infrastructure, Cybersecurity, Client Support, and Product Development teams. Continuous Learning: Actively expand knowledge of generative AI, machine learning, modern engineering practices, and emerging technologies. Share learning with peers and contribute to team growth. Client-Focused Solutions: Develop solutions with a client-centric mindset, ensuring Payment Product platforms deliver exceptional value and innovation. Use client feedback to refine and improve offerings. API and Integration Development: Contribute to the design and development of APIs that enhance integration across Payment Product applications, platforms, AI services, and solutions. Technology Modernization: Advance the modernization roadmap by adopting best-in-class technology solutions for core platforms, expanding market reach and client impact. Process Improvement: Continuously improve technology stacks, development processes, and methodologies to enhance productivity, quality, and time to market, including responsible use of AI-assisted engineering tools. Engineering Excellence: Follow industry best practices in software development, emphasizing quality, security, performance, scalability, availability, resilience, and reduction of technical debt. Automation and Best Practices: Automate software development, testing, deployment, and maintenance processes. Use AI-generated outputs as accelerators while applying rigorous engineering review and verification. Incident and Change Management: Support incident, change, and problem management processes. Participate in root-cause analysis and troubleshooting to sustain high availability and service reliability. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Expert-level skills in Java, Python, and Node.js; experience with C++ or C# is a plus. Experience building Generative AI applications, conversational AI solutions, retrieval-augmented generation (RAG) architectures, and related techniques, tools, and libraries. Preferred Qualifications: 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) Self-driven, adaptable, and willing to work across technologies and programming languages. Strong understanding of natural language processing concepts, including tokenization, word embeddings, and sequence models. Proficiency implementing and fine-tuning AI and machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn. Understanding of machine learning and deep learning fundamentals, including neural network architectures, training procedures, transfer learning, model compression, and associated trade-offs. Ability to design, implement, and integrate AI components into larger enterprise systems. Familiarity with common robustness, reliability, security, and responsible-use considerations in AI systems. Experience working with large datasets, exploratory data analysis, data preprocessing, feature engineering, and model evaluation techniques. Exposure to leading-edge areas such as machine learning, deep learning, stream computing, MLOps, and modern AI integration patterns. Proficiency in front-end web development technologies such as React, Angular, and Node.js. Experience configuring build and deployment systems such as Docker, Jenkins, and Kubernetes. Expertise in multithreading, concurrency, and error handling. Demonstrated proficiency in troubleshooting, root-cause analysis, application design, and implementing enterprise-scale components. Knowledge of version control, CI/CD pipelines, and best practices for application and ML model deployment. Working knowledge of distributed in-memory computing technologies such as Redis. Understanding of enterprise security, certificate management, and related practices. Hands-on experience with Jenkins and container deployment architecture. Experience with OAuth 2.0, SSO, and authentication methods or protocols. Expertise in application security, SSDLC, and cryptography fundamentals. Experience applying AI-assisted engineering practices while independently validating generated code, tests, documentation, and technical recommendations. Experience in the payments technology industry is a plus. The Skills You Bring: Energy and Experience: A growth mindset, curiosity about technology, and enthusiasm for challenging projects on a global scale. Challenge the Status Quo: Comfort pushing boundaries and exploring solutions beyond traditional approaches. Language Expertise: Expertise in one or more development languages such as Java, Python, Node.js, C#, or C++. AI Builder: Experience building and deploying Generative AI, conversational AI, RAG, machine learning, modern services, and web applications with quality and scalability. Critical AI Judgment: Ability to evaluate AI-generated code and recommendations, identify failure modes, and apply independent engineering judgment. Learner: A consistent drive to learn technologies such as GenAI, machine learning, Angular, React, Kubernetes, and Docker. Partnership: Experience collaborating with Product, Test, DevOps, Cybersecurity, and Agile/Scrum teams. Information for US Applicants For roles located in the US, the estimated salary range for this position is $112,100 to $204,000 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. 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 protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
11/11/2026
Full time
About Us 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. Visa will accept applications for this role until at least 11-10-2026 Job Description The Opportunity We are seeking a talented and motivated Senior Software Development Engineer to join our Payments Products Development team. As a key member of the team, you will play a critical role in developing cutting-edge solutions, leveraging innovative technologies, and enhancing the capabilities of our platforms. You will quickly grasp and evaluate new ideas and technologies from internal and external sources, then match them to emerging technology and business opportunities while helping build a culture of innovation and engineering excellence. Essential Functions: AI-Enabled Innovative Development: Design, develop, and implement innovative software solutions using generative AI, conversational AI, RAG, and modern integration patterns. Explore new technologies and translate relevant ideas into secure, scalable business solutions. AI System Engineering: Design and integrate AI components into larger platforms, including data preparation, model evaluation, deployment, monitoring, and continuous improvement. Address robustness, quality, security, and operational reliability throughout the lifecycle. Collaborative Engineering: Collaborate with cross-functional teams to deliver complex projects that integrate emerging technologies with existing platforms. Work closely with Product Office, Operations & Infrastructure, Cybersecurity, Client Support, and Product Development teams. Continuous Learning: Actively expand knowledge of generative AI, machine learning, modern engineering practices, and emerging technologies. Share learning with peers and contribute to team growth. Client-Focused Solutions: Develop solutions with a client-centric mindset, ensuring Payment Product platforms deliver exceptional value and innovation. Use client feedback to refine and improve offerings. API and Integration Development: Contribute to the design and development of APIs that enhance integration across Payment Product applications, platforms, AI services, and solutions. Technology Modernization: Advance the modernization roadmap by adopting best-in-class technology solutions for core platforms, expanding market reach and client impact. Process Improvement: Continuously improve technology stacks, development processes, and methodologies to enhance productivity, quality, and time to market, including responsible use of AI-assisted engineering tools. Engineering Excellence: Follow industry best practices in software development, emphasizing quality, security, performance, scalability, availability, resilience, and reduction of technical debt. Automation and Best Practices: Automate software development, testing, deployment, and maintenance processes. Use AI-generated outputs as accelerators while applying rigorous engineering review and verification. Incident and Change Management: Support incident, change, and problem management processes. Participate in root-cause analysis and troubleshooting to sustain high availability and service reliability. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Expert-level skills in Java, Python, and Node.js; experience with C++ or C# is a plus. Experience building Generative AI applications, conversational AI solutions, retrieval-augmented generation (RAG) architectures, and related techniques, tools, and libraries. Preferred Qualifications: 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) Self-driven, adaptable, and willing to work across technologies and programming languages. Strong understanding of natural language processing concepts, including tokenization, word embeddings, and sequence models. Proficiency implementing and fine-tuning AI and machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn. Understanding of machine learning and deep learning fundamentals, including neural network architectures, training procedures, transfer learning, model compression, and associated trade-offs. Ability to design, implement, and integrate AI components into larger enterprise systems. Familiarity with common robustness, reliability, security, and responsible-use considerations in AI systems. Experience working with large datasets, exploratory data analysis, data preprocessing, feature engineering, and model evaluation techniques. Exposure to leading-edge areas such as machine learning, deep learning, stream computing, MLOps, and modern AI integration patterns. Proficiency in front-end web development technologies such as React, Angular, and Node.js. Experience configuring build and deployment systems such as Docker, Jenkins, and Kubernetes. Expertise in multithreading, concurrency, and error handling. Demonstrated proficiency in troubleshooting, root-cause analysis, application design, and implementing enterprise-scale components. Knowledge of version control, CI/CD pipelines, and best practices for application and ML model deployment. Working knowledge of distributed in-memory computing technologies such as Redis. Understanding of enterprise security, certificate management, and related practices. Hands-on experience with Jenkins and container deployment architecture. Experience with OAuth 2.0, SSO, and authentication methods or protocols. Expertise in application security, SSDLC, and cryptography fundamentals. Experience applying AI-assisted engineering practices while independently validating generated code, tests, documentation, and technical recommendations. Experience in the payments technology industry is a plus. The Skills You Bring: Energy and Experience: A growth mindset, curiosity about technology, and enthusiasm for challenging projects on a global scale. Challenge the Status Quo: Comfort pushing boundaries and exploring solutions beyond traditional approaches. Language Expertise: Expertise in one or more development languages such as Java, Python, Node.js, C#, or C++. AI Builder: Experience building and deploying Generative AI, conversational AI, RAG, machine learning, modern services, and web applications with quality and scalability. Critical AI Judgment: Ability to evaluate AI-generated code and recommendations, identify failure modes, and apply independent engineering judgment. Learner: A consistent drive to learn technologies such as GenAI, machine learning, Angular, React, Kubernetes, and Docker. Partnership: Experience collaborating with Product, Test, DevOps, Cybersecurity, and Agile/Scrum teams. Information for US Applicants For roles located in the US, the estimated salary range for this position is $112,100 to $204,000 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. 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 protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About Us 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 Visa's Technology Organizationis a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us,you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. Job Opportunity: We are looking for dedicated, curious, and energetic Software Engineers who embrace solving complex challenges at scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, developing, and operating software products and services that help Visa manage a broad portfolio of critical risk programs efficiently at scale. Your work will accelerate Visa business into new markets and sectors and empower and enable multiple productand business groupsacross Visa to deliver innovations faster. Key Responsibilities: Partner with product owners to gather and refine requirements across product teamsto create roadmap, execute and adapt the roadmap in the fast-paced environment. Own Visa's enterprise-wide risk platform that empowers employes to drive organizational and product improvements through collaborative idea sharing and the entire lifecycle from ideation to delivery. Design, implement, and enhance systems and shared technologies end-2-end that enable and improve Visa offerings which touch 40% of the world population while influencing Visa's internal standards for quality, observability, scalability, security, and reusability. Make a difference on a global or local scale through mentorship and continued learning opportunities Use and integrate GenAI and agents in day-to-day activities across SDLC and devops to improve ideation to production delivery cycle time andquality Come up with innovative ideas tointegrate GenAI to enhance and build new product capabilities and agents, and deliver measurable impact to users Drives advanced architect solutions that are robust and scalable, considering integrations with other solutions across the internal technical ecosystem, and external services Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: Master's degree in Math, Science, Engineering, or Computer Science, Information Systems or related field AND minimum five (5) years of experience in a directly related field.ORBachelor's degree in Math, Science, Engineering, or Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field.ORMinimumeleven(11) years of directly related experience. Preferred Qualifications: Ability to provide technical leadership to their team to successful technical outcomes, ensuring sound engineering decisions that balance business needs along with engineering and operational excellence Strong product mindset and customer focus to contribute meaningfully to planning and collaborate with PMs and team leads to shape team vision. Experience in one or more of the high-level programming languages (e.g., Java, Python, C#, Golang). Experience with SQL and NoSQL databases (e.g., MySQL, Cassandra, MongoDB). Experience with using GenAI, copilots, and agentic software for improving agility, quality, and security in SDLC Proven experience architecting, building, deploying, and operating large scale, highly available, fault-tolerant, and elastic microservices in cloud-native environments. Proficiency in REST/GraphQL/gRPC API design, event-driven architectures, and message queues Familiarity with front-end development with React or Angular Experience building AI-powered product capabilities is a plus Experience in developing and integrating with any Governance, Risk, and Compliance platform is a big plus. Information for US Applicants For roles located in the US, the estimated salary range for this position is $152,200.00 to $ 243,700.00 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. 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 protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
10/07/2026
Full time
About Us 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 Visa's Technology Organizationis a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us,you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. Job Opportunity: We are looking for dedicated, curious, and energetic Software Engineers who embrace solving complex challenges at scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, developing, and operating software products and services that help Visa manage a broad portfolio of critical risk programs efficiently at scale. Your work will accelerate Visa business into new markets and sectors and empower and enable multiple productand business groupsacross Visa to deliver innovations faster. Key Responsibilities: Partner with product owners to gather and refine requirements across product teamsto create roadmap, execute and adapt the roadmap in the fast-paced environment. Own Visa's enterprise-wide risk platform that empowers employes to drive organizational and product improvements through collaborative idea sharing and the entire lifecycle from ideation to delivery. Design, implement, and enhance systems and shared technologies end-2-end that enable and improve Visa offerings which touch 40% of the world population while influencing Visa's internal standards for quality, observability, scalability, security, and reusability. Make a difference on a global or local scale through mentorship and continued learning opportunities Use and integrate GenAI and agents in day-to-day activities across SDLC and devops to improve ideation to production delivery cycle time andquality Come up with innovative ideas tointegrate GenAI to enhance and build new product capabilities and agents, and deliver measurable impact to users Drives advanced architect solutions that are robust and scalable, considering integrations with other solutions across the internal technical ecosystem, and external services Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: Master's degree in Math, Science, Engineering, or Computer Science, Information Systems or related field AND minimum five (5) years of experience in a directly related field.ORBachelor's degree in Math, Science, Engineering, or Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field.ORMinimumeleven(11) years of directly related experience. Preferred Qualifications: Ability to provide technical leadership to their team to successful technical outcomes, ensuring sound engineering decisions that balance business needs along with engineering and operational excellence Strong product mindset and customer focus to contribute meaningfully to planning and collaborate with PMs and team leads to shape team vision. Experience in one or more of the high-level programming languages (e.g., Java, Python, C#, Golang). Experience with SQL and NoSQL databases (e.g., MySQL, Cassandra, MongoDB). Experience with using GenAI, copilots, and agentic software for improving agility, quality, and security in SDLC Proven experience architecting, building, deploying, and operating large scale, highly available, fault-tolerant, and elastic microservices in cloud-native environments. Proficiency in REST/GraphQL/gRPC API design, event-driven architectures, and message queues Familiarity with front-end development with React or Angular Experience building AI-powered product capabilities is a plus Experience in developing and integrating with any Governance, Risk, and Compliance platform is a big plus. Information for US Applicants For roles located in the US, the estimated salary range for this position is $152,200.00 to $ 243,700.00 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. 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 protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.