Experience Senior · 6+ yrs (8+ years)

About the role

structured by ORI

Skip to main content Welcome to our new career portal! Create your new profile today to ensure your information is current and you're ready to explore opportunities that match your skills and ambitions.

What you will do

Translate complex business challenges into clear engineering roadmaps, user requirements, and technical specifications.
Lead the experimentation pipeline, evaluating new technologies, model types, LLM-based features, and platform capabilities.
Drive cross-functional collaboration, ensuring platform engineers, UX teams, and product partners align on architecture, capabilities, and success metrics.
Establish and maintain standards for responsible AI, including data quality, model testing, explainability, observability, and end-to-end governance.
Analyze performance patterns, customer signals, and model behavior to implement systemic improvements and long-term product enhancements.

What they are looking for

8+ years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience.

Nice to have

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. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD.
Self-driven and willing to work across technologies/languages.
Expert-level skills in Python and/or NodeJS with skills in Java or C/C++ is a bonus.
Experience in building Generative AI applications, conversational AI, RAG and Multi-Agentic architectures, techniques and libraries.
In-depth understanding of NLP including tokenization, word embeddings, and basic sequence models.
Ability to design and implement AI components and integrate them into larger systems.
Familiarity with common robustness issues in AI systems.
Familiarity with deep learning basics, including neural network architectures and training procedures.

Before you apply

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Benefits

Medical
Dental
Vision
401(k)
FSA/HSA

AIdistributed systemsmachine learningdata platformscloudPythonJavaC++NodeJSKubernetesReactJSAngularJenkins

Full posting text

Welcome to our new career portal!

Create your new profile today to ensure your information is current and you're ready to explore opportunities that match your skills and ambitions. Get started now—your next career move awaits!

Visa’s career pages are provided by Workday. Workday will only use non-essential cookies at Visa’s instruction and with your permission. To view more information on Workday's cookie practices, click here. To review additional information about Visa's privacy practices, visit the Visa Candidate Privacy Notice. (Translated Notice)

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locations

US - Bellevue, WA

time type

Full time

posted on

Posted 2 Days Ago

job requisition id

REF089125W

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’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate one of the world’s most sophisticated global transaction networks—processing 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 AI‑First Innovation team, you will help define and deliver transformative intelligence‑driven products that unlock new payment experiences, new business flows, and new capabilities across Visa’s ecosystem.

The Opportunity:

We are seeking a versatile, curious, and impact‑driven Sr. Consultant Engineer who thrives at the intersection of AI, distributed systems, and large‑scale customer impact. In this role, you will lead the execution of next‑generation AI‑powered solutions—partnering 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 Visa’s 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 real‑time commerce platforms.
Lead the experimentation pipeline, evaluating new technologies, model types, LLM‑based features, and platform capabilities—and guiding teams through proof‑of‑concepts, pilots, and scaled launches.
Implement innovations for AI‑native capabilities that touch 40% of the world’s population, setting new standards for scalability, security, explainability, and reusability.
Drive cross‑functional collaboration, ensuring 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 friction—and driving durable solutions.
Shape Visa’s next‑generation AI ecosystem, leveraging cloud‑native and modern AI/ML technologies to build robust, privacy‑preserving, and globally scalable services.
Enable global impact, mentoring teams, developing best practices, and contributing to internal learning programs to elevate Visa’s AI maturity and experimentation culture.

Key Responsibility:

Provide deep technical leadership across AI, data platforms, and large‑scale distributed systems—directing 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 end‑to‑end governance.
Lead planning and implementation for new AI capabilities and intelligent features, ensuring seamless integration into Visa’s global platforms and customer experiences.
Analyze performance patterns, customer signals, and model behavior to implement systemic improvements and long‑term product enhancements.

The Skills You Bring:

AI‑first mindset—curiosity, experimentation, and a passion for applying intelligent technologies to solve global-scale problems.
Product leadership with technical depth, including experience driving ML, data, cloud, or highly‑distributed system products.
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 real‑time 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 model‑based product architectures.
Strong cross‑functional collaboration, working closely with Product, Engineering, Security, UX, DevOps, and Agile/Scrum teams.

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. Masters, 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. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD.
Self-driven and willing to work across technologies/languages.
Expert-level skills in Python and/or NodeJS with skills in Java or C/C++ is a bonus.
Experience in building Generative AI applications, conversational AI, RAG and Multi-Agentic architectures, techniques and libraries.
In-depth understanding of NLP including tokenization, word embeddings, and basic sequence models.
Ability to design and implement AI components and integrate them into larger systems.
Familiarity with common robustness issues in AI systems.
Familiarity with deep learning basics, including neural network architectures and training procedures.
Proficiency in front-end web development technologies like ReactJS/Angular/NodeJS.
Demonstrated proficiency in troubleshooting, root-cause analysis, application design, and implementing large components for enterprise projects.
Exposure to leading-edge areas such as Machine Learning, Deep Learning, Stream Computing and MLOps, is a plus.
Ability to work with large datasets and perform exploratory data analysis.
Experience with data preprocessing, feature engineering, and model evaluation techniques
Understanding enterprise security, certificate management, etc.
Hands-on experience with Jenkins and container deployment architecture.
Experience using OAuth2.0, SSO, and authentication methods/protocols.
Expertise in application security, SSDLC, and knowledge of cryptography fundamentals.
Experience in the payments tech industry is a plus.

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.

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Learn our recruiting process

Your journey starts here — discover how we hire

Ready to take the next step? Learn more about life at Visa, explore our hiring process and get first-hand insights by hearing directly from our recruiters about what to expect. Apply with confidence today!

Learn our recruiting process

Can't find a fit for you?

Connect with transformative opportunities, gain insider industry insights, and be the first to hear about exclusive events and job openings. Shape the future with Visa.

Your journey starts now!

Join our Talent Community!

Get Started

About Visa

Whether you’re starting your career, pushing your capabilities or are a seasoned professional, learn how we can partner to reimagine the world.

###

Visit Visa Leadership Principles

###

Learn What we do

###

Discover more about Visa’s Corporate Responsibility

•

Visa Candidate Privacy Notice

REF089125W

Apply on company site

Experience Senior · 6+ yrs (8+ years)

About the role

structured by ORI

What you will do

Translate complex business challenges into clear engineering roadmaps, user requirements, and technical specifications.
Lead the experimentation pipeline, evaluating new technologies, model types, LLM-based features, and platform capabilities.
Drive cross-functional collaboration, ensuring platform engineers, UX teams, and product partners align on architecture, capabilities, and success metrics.
Establish and maintain standards for responsible AI, including data quality, model testing, explainability, observability, and end-to-end governance.
Analyze performance patterns, customer signals, and model behavior to implement systemic improvements and long-term product enhancements.

What they are looking for

8+ years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience.

Nice to have

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. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD.
Self-driven and willing to work across technologies/languages.
Expert-level skills in Python and/or NodeJS with skills in Java or C/C++ is a bonus.
Experience in building Generative AI applications, conversational AI, RAG and Multi-Agentic architectures, techniques and libraries.
In-depth understanding of NLP including tokenization, word embeddings, and basic sequence models.
Ability to design and implement AI components and integrate them into larger systems.
Familiarity with common robustness issues in AI systems.
Familiarity with deep learning basics, including neural network architectures and training procedures.

Before you apply

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Benefits

Medical
Dental
Vision
401(k)
FSA/HSA

AIdistributed systemsmachine learningdata platformscloudPythonJavaC++NodeJSKubernetesReactJSAngularJenkins

Full posting text

Welcome to our new career portal!

Create your new profile today to ensure your information is current and you're ready to explore opportunities that match your skills and ambitions. Get started now—your next career move awaits!

Decline

Accept Cookies

Software Engineer, Sr. Consultant Level page is loaded

Software Engineer, Sr. Consultant Level

Apply

locations

US - Bellevue, WA

time type

Full time

posted on

Posted 2 Days Ago

job requisition id

REF089125W

About Us

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:

The Opportunity:

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 real‑time commerce platforms.
Lead the experimentation pipeline, evaluating new technologies, model types, LLM‑based features, and platform capabilities—and guiding teams through proof‑of‑concepts, pilots, and scaled launches.
Implement innovations for AI‑native capabilities that touch 40% of the world’s population, setting new standards for scalability, security, explainability, and reusability.
Drive cross‑functional collaboration, ensuring 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 friction—and driving durable solutions.
Shape Visa’s next‑generation AI ecosystem, leveraging cloud‑native and modern AI/ML technologies to build robust, privacy‑preserving, and globally scalable services.
Enable global impact, mentoring teams, developing best practices, and contributing to internal learning programs to elevate Visa’s AI maturity and experimentation culture.

Key Responsibility:

Provide deep technical leadership across AI, data platforms, and large‑scale distributed systems—directing 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 end‑to‑end governance.
Lead planning and implementation for new AI capabilities and intelligent features, ensuring seamless integration into Visa’s global platforms and customer experiences.
Analyze performance patterns, customer signals, and model behavior to implement systemic improvements and long‑term product enhancements.

The Skills You Bring:

AI‑first mindset—curiosity, experimentation, and a passion for applying intelligent technologies to solve global-scale problems.
Product leadership with technical depth, including experience driving ML, data, cloud, or highly‑distributed system products.
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 real‑time 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 model‑based product architectures.
Strong cross‑functional collaboration, working closely with Product, Engineering, Security, UX, DevOps, and Agile/Scrum teams.

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. Masters, 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. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD.
Self-driven and willing to work across technologies/languages.
Expert-level skills in Python and/or NodeJS with skills in Java or C/C++ is a bonus.
Experience in building Generative AI applications, conversational AI, RAG and Multi-Agentic architectures, techniques and libraries.
In-depth understanding of NLP including tokenization, word embeddings, and basic sequence models.
Ability to design and implement AI components and integrate them into larger systems.
Familiarity with common robustness issues in AI systems.
Familiarity with deep learning basics, including neural network architectures and training procedures.
Proficiency in front-end web development technologies like ReactJS/Angular/NodeJS.
Demonstrated proficiency in troubleshooting, root-cause analysis, application design, and implementing large components for enterprise projects.
Exposure to leading-edge areas such as Machine Learning, Deep Learning, Stream Computing and MLOps, is a plus.
Ability to work with large datasets and perform exploratory data analysis.
Experience with data preprocessing, feature engineering, and model evaluation techniques
Understanding enterprise security, certificate management, etc.
Hands-on experience with Jenkins and container deployment architecture.
Experience using OAuth2.0, SSO, and authentication methods/protocols.
Expertise in application security, SSDLC, and knowledge of cryptography fundamentals.
Experience in the payments tech industry is a plus.

Information for US Applicants

Work Hours

Varies upon the needs of the department.

Travel Requirements

This position requires travel 5-10% of the time.

Mental/Physical Requirements

Visa is an EEO Employer

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Learn our recruiting process

Your journey starts here — discover how we hire

Learn our recruiting process

Can't find a fit for you?

Connect with transformative opportunities, gain insider industry insights, and be the first to hear about exclusive events and job openings. Shape the future with Visa.

Your journey starts now!

Join our Talent Community!

Get Started

About Visa

Whether you’re starting your career, pushing your capabilities or are a seasoned professional, learn how we can partner to reimagine the world.

###

Visit Visa Leadership Principles

###

Learn What we do

###

Discover more about Visa’s Corporate Responsibility

•

Visa Candidate Privacy Notice

REF089125W

Apply on company site

Software Engineer, Sr. Consultant Level

Let ORI find you the best jobs.

Get your resume reviewed for this role - 30-minute 1:1 call

Your prep plan

About the role

What you will do

What they are looking for

Nice to have

Before you apply

Benefits

Software Engineer, Sr. Consultant Level

About Us

Qualifications

Basic Qualifications:

Preferred Qualifications:

Similar Jobs (5)

Director, Software Engineering

Staff SW Engineer

Sr. SW Engineer

Learn our recruiting process

Help build the future of money movement

Can't find a fit for you?

About Visa

Follow Us

Software Engineer, Sr. Consultant Level

Let ORI find you the best jobs.

Get your resume reviewed for this role - 30-minute 1:1 call

Your prep plan

About the role

What you will do

What they are looking for

Nice to have

Before you apply

Benefits

Software Engineer, Sr. Consultant Level

About Us

Qualifications

Basic Qualifications:

Preferred Qualifications:

Similar Jobs (5)

Director, Software Engineering

Staff SW Engineer

Sr. SW Engineer

Learn our recruiting process

Help build the future of money movement

Can't find a fit for you?

About Visa

Follow Us