Software Engineer, Sr. Consultant - Fullstack GenAI Enablement
Visa · US - Ashburn, VA ·
- Work mode
- Hybrid
- Seniority
- Senior
- Category
- Fullstack
- Experience
- 2+ years
Visa · US - Ashburn, VA ·
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 Organization is 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.
The Opportunity:
We are seeking a seasoned Fullstack Software Engineer with experience building GenAI-enabled applications. We're looking for someone who is both a hands-on full-stack engineer and a team leader capable of designing, developing, and deploying GenAI‑powered applications. You will mentor an engineering team while delivering scalable AI systems that integrate with Visa’s product ecosystem, developer platforms, and internal operational tools.
This role blends architecture, leadership, full-stack development, cloud engineering, and GenAI frameworks. As a Visa Lead Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. While building components of powerful payment technology, you will get to see your efforts shaping the digital future of monetary transactions.
The Work itself:
The Skills You Bring
GenAI Architecture & Framework Development
Architect and deliver GenAI-enabled applications leveraging:
• Build reusable GenAI components, SDKs, pipelines, and abstraction layers for engineering teams.
Define best practices for:
Develop end‑to‑end AI applications using:
Design and build data workflows supporting AI systems, including:
Implement CI/CD automation leveraging:
Apply Visa’s standards for:
This is a hybrid position. Expectation of days in the office 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 PhD
• Bachelor’s or Master’s in Computer Science, Engineering, AI/ML, or related field.
• 8+ years of software engineering experience; 2+ years leading or mentoring engineers.
• Worked with Agile SDLC process and SAFE agile environment in distributed teams
Hands-on experience with:
• LLM frameworks (LangGraph, LangChain, Haystack, AWS Bedrock GenAI tools)
• Python backend development (FastAPI strongly preferred)
• Frontend development (React + TypeScript)
• Vector databases (FAISS, Pinecone, Weaviate, OpenSearch, etc.)
• Agile Frameworks like SAFE, GitHub / Bitbucket, Jira, ServiceNow, Wiki, CI/CD automation pipelines involving Jenkins
• Proven experience shipping products on AWS (Lambda, ECS/EKS, S3, API Gateway, Bedrock, SageMaker).
• Strong understanding of distributed systems, microservices, and API design.
• Experience implementing RAG at scale using internal or cloud-based vector stores.
• Experience with Databricks/Spark pipelines, MLFlow, or modern MLOps tools.
• Familiarity with event-driven messaging systems (Kafka, Kinesis).
• Background in payments, risk, fraud analytics, or regulated financial systems.
• Experience creating developer tooling or reusable frameworks for broader engineering teams.
• Soft Skills
• Excellent communication, ability to simplify complex AI concepts.
• Leadership presence with hands-on technical credibility.
• Ability to collaborate in a matrixed global organization.
• Passion for innovation and continuous exploration of emerging GenAI capabilities.
• We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn’t work with payments technology or web applications before joining Visa
U.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.