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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
VCS Platform \& Acceptance is part of the Visa Commercial Solutions technology organization. The team is responsible for designing, developing, and implementing Virtual Cards, payables, and acceptance commercial platforms that drive incremental revenue and support the continued growth of Commercial B2B product lines.
We are looking for versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As part of a multi\-functional development team, you will help invent, design, build, test, and support software products that serve a truly global customer base. While building innovative payment technology, you will help shape the digital future of commercial money movement.
As a Software Engineer \- Senior Consultant Level, you will play a key role in the team’s ongoing transformation by leading the design and delivery of highly scalable, secure, reliable, resilient, and user\-friendly applications. You will provide senior technical leadership across architecture, engineering standards, implementation quality, and platform evolution.
This role demands deep expertise in API platforms, backend services, microservices, event\-driven systems, and enterprise\-grade scalable application architecture.
A GenAI\-first attitude is mandatory. You are expected to be a model user of GenAI, LLMs, coding copilots, and agentic engineering approaches, and to help shape how engineering teams use these capabilities to improve software quality, speed, innovation, and operational excellence.
Responsibilities:
- Design, document, and implement new systems, enhancements, and modifications to existing software aligned with design specifications, security standards, and engineering best practices
- Leverage innovative technologies to build the next generation of services and application stacks
- Use Gen AI for day\-to\-day activities
- Lead the architecture and implementation of REST APIs, gRPC services, backend platforms, microservices, and event\-driven systems
- Design, implement, and evolve highly scalable and fault\-tolerant web\-based applications
- Deliver software that conforms to high standards of security, quality, performance, resiliency, and compliance
- Interact with both business and technical stakeholders to deliver high\-quality products and services that meet business requirements
- Independently create multiple design artifacts and present designs to team members and stakeholders
- Present technical solutions, capabilities, considerations, and features in business terms
- Collaborate with Technical Product Managers to break down solutions into smaller achievable tasks
- Support test engineers and operations teams in troubleshooting, defect research, and issue root cause analysis
- Contribute to efficient development process pipelines through best\-in\-class CI/CD tools
- Identify opportunities for product innovation and improvements to standards, processes, and best practices
- Mentor junior developers to ensure timely delivery of quality code
- Communicate status, issues, and risks effectively and timely
- Take responsibility across SDLC roles including development, testing, CI/CD automation, and ensuring production stability
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
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 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 PhDDeep expertise in backend engineering using REST APIs, gRPC, J2EE, JDBC, JMSExtensive hands\-on experience with Spring, Spring Batch, Spring Boot, WebFlux, and Vert.xExperience with using GenAI, copilots, and agentic software for improving agility, quality, and security in SDLC.Demonstrated leadership in applying a GenAI\-first mindset across engineering practicesStrong experience designing and delivering backend services, microservices, and event\-driven systemsStrong experience building high\-performance, scalable, reliable, and fault\-tolerant applicationsHands\-on experience with database technologies such as MySQL, DB2, OracleStrong ability to understand and write simple and complex SQLStrong experience with Agile development incorporating CI/CD using GIT, Maven, Jenkins, Chef, Sonar, JUnitStrong understanding of the full software development lifecycle including version control, build process, testing, and code releaseStrong understanding of architecture and operations of highly available and scalable applicationsExperience in a technical leadership roleStrong oral and written communication skillsStrong interpersonal, analytical, and troubleshooting skillsAbility to multitask and manage competing priorities with minimal directionMust work well within a fast\-paced, high\-performance organizationMandatory strong experience with GenAI / LLM\-driven software engineeringProven knowledge of successful design, architecture, and development of shared services and frameworks including microservices, container technologies, caching, API gateway, and security Working experience with Kafka, Redis, or NoSQL datastoresContinuous Delivery and DevOps experience including infrastructure automation, monitoring, logging, auditing, and security implementationProven track record in a technical lead role producing innovative and simple solutions to complex problemsStrong passion for technology and solving large\-scale complex business problems The Skills You Bring • A true GenAI\-first leadership mindset, using AI and agentic workflows to elevate team practices and engineering outcomesExpert\-level backend engineering capability across REST APIs, gRPC, J2EE, JDBC, JMSDeep command of Spring, Spring Batch, Spring Boot, WebFlux, and Vert.xStrong mastery of OOP concepts and design patternsDeep expertise in API development, backend services, microservices, and event\-driven architectureStrong architectural and operational understanding of highly available, scalable, performant, and reliable systemsDeep CI/CD, automation, and DevOps understandingStrong database and SQL expertiseAbility to lead architecture, mentor engineers, and influence technical directionAbility to communicate technical concepts effectively to both technical and business stakeholdersCuriosity, creativity, and ownership in solving complex business problemsU.S. Applicants Only
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.
Salary Context
This $152K-$243K range is above the median for AI Software Engineer roles in our dataset (median: $190K across 193 roles with salary data).
Role Details
About This Role
AI Software Engineers build the applications and systems that AI models run inside. They own the API layers, data pipelines, frontend integrations, and infrastructure that turn a model into a product users interact with. Every AI company needs engineers who can build the software around the AI.
The challenge is building reliable systems around inherently unreliable components. Models are probabilistic. They'll give different answers to the same question. They hallucinate. They're slow. They're expensive. Your job is to build an application layer that handles all of this gracefully while delivering a product that users trust and enjoy.
Across the 3,824 AI roles we're tracking, AI Software Engineer positions make up 7% of the market. At Visa, this role fits into their broader AI and engineering organization.
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
What the Work Looks Like
A typical week includes: building API endpoints that serve model inference with caching and fallback logic, designing the data pipeline that feeds context to a RAG system, implementing streaming responses in the frontend, debugging a race condition in the async inference pipeline, and optimizing database queries for the vector search layer. It's full-stack engineering with AI at the center.
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
Skills in Demand for This Role
Full-stack engineering skills with AI integration experience. Python and TypeScript are the most common requirements. You'll need to understand API design, database architecture, and how to build reliable systems around probabilistic outputs. Experience with streaming, async processing, and caching patterns is increasingly important as real-time AI applications proliferate.
Knowledge of vector databases, embedding APIs, and LLM integration patterns (function calling, structured outputs, retry logic) differentiates AI software engineers from general software engineers. Understanding cost optimization (caching strategies, model routing, batched inference) is valuable since inference costs can dominate application economics.
Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.
Compensation Benchmarks
AI Software Engineer roles pay a median of $234,620 based on 682 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $227,400. This role's midpoint ($197K) sits 16% below the category median. Disclosed range: $152K to $243K.
Across all AI roles, the market median is $200,000. Top-quartile compensation starts at $253,000. The 90th percentile reaches $307,500. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Safety ($274,200). By seniority level: Entry: $97,380; Mid: $160,000; Senior: $227,400; Director: $243,000; VP: $250,000.
Visa AI Hiring
Visa has 8 open AI roles right now. They're hiring across AI/ML Engineer, AI Software Engineer. Positions span Highlands Ranch, CO, US, San Francisco, CA, US, Foster City, CA, US. Compensation range: $198K - $400K.
Location Context
AI roles in Austin pay a median of $218,800 across 493 tracked positions. That's 9% above the national median.
Career Path
Common paths into AI Software Engineer roles include Software Engineer, Full-Stack Developer, Backend Engineer.
From here, career progression typically leads toward Staff Engineer, AI Architect, Engineering Manager.
If you're a software engineer, you're already 80% there. Learn the AI integration patterns: RAG, streaming inference, function calling, structured outputs. Build a project that demonstrates you can wrap an AI model in a production-quality application with proper error handling, caching, and user experience. That's the portfolio piece that gets you hired.
What to Expect in Interviews
Technical screens look like standard software engineering interviews with an AI twist. Expect system design questions about building reliable applications around probabilistic models: handling streaming responses, implementing retry logic for API failures, and designing caching strategies for LLM outputs. Coding rounds test standard algorithms plus practical integration patterns like async processing and rate limiting.
When evaluating opportunities: Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.
AI Hiring Overview
The AI job market has 3,824 open positions tracked in our dataset. By seniority: 119 entry-level, 1,813 mid-level, 1,472 senior, and 420 leadership roles (Director, VP, C-Level). Remote roles make up 16% of the market (613 positions). The remaining 3,187 roles require on-site or hybrid attendance.
The market median for AI roles is $200,000. Top-quartile compensation starts at $253,000. The 90th percentile reaches $307,500. Highest-paying categories: AI Engineering Manager ($293,500 median, 31 roles); AI Safety ($274,200 median, 51 roles); Research Engineer ($260,000 median, 401 roles).
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
The AI Job Market Today
The AI job market spans 3,824 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (2,702), Data Scientist (281), AI Software Engineer (258). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (119) are outnumbered by mid-level (1,813) and senior (1,472) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 420 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 16% of all AI roles (613 positions), with 3,187 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $200,000. Top-quartile roles start at $253,000, and the 90th percentile reaches $307,500. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $142,800. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,968 postings), Aws (1,203 postings), Azure (882 postings), Rag (877 postings), Gcp (735 postings), Prompt Engineering (587 postings), Pytorch (586 postings), Claude (554 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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