Sr Software Engineer (GenAI) at Visa

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

30 Dec, 25

Salary

0.0

Posted On

01 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Full Stack Development, Python, JavaScript, TypeScript, React, Angular, RESTful APIs, Azure, MLOps, Model Evaluation, Security, Cloud Architecture, Prompt Engineering, Vector Databases, Mentoring

Industry

IT Services and IT Consulting

Description

Company Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. 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. About the role We are seeking a highly skilled Senior Generative AI Developer/Lead to architect, develop, and deploy enterprise-grade AI-powered applications with agentic capabilities. In this hands-on leadership role, you will drive full stack development (backend and frontend), integrate with enterprise platforms, ensure robust security, privacy, and regulatory compliance, and mentor a growing AI team. This is your opportunity to shape the future of AI-driven experiences in a data-rich, highly regulated environment. What you'll get to do End-to-end ownership of cutting-edge Generative AI products from architecture to deployment using the latest LLMs, agent frameworks, and Azure AI services. A platform to innovate at the forefront of AI & Payments, solving complex real-world challenges in a data-rich, highly regulated industry. The opportunity to lead, mentor, and inspire a talented AI team while shaping the technical vision and making a tangible impact on the future of intelligent payment solutions. Responsibilities Maintain high standards in code quality, architectural documentation, and collaborative development Design, development, and deployment of GenAI-powered agentic applications. Architect and implement full-stack solutions, including RESTful APIs (Django / FastAPI / Flask) and frontends (React / Angular). Integrate advanced LLMs and agent frameworks (GPT-4, Claude, Gemini, Llama, Mistral, LangChain etc) into scalable enterprise systems. Implement retrieval-augmented generation (RAG), prompt engineering, and vector database search (Postgres, Chroma). Ensure robust prompt evaluation, hallucination detection, and model output validation. Build secure connectors for diverse enterprise data sources (databases, OLAP cubes, Hive, MDX). Deploy solutions on Azure Cloud, leveraging Azure OpenAI, App Services and Cognitive Search. Integrate with Microsoft 365 platforms (Teams, Excel, Outlook, SharePoint, Power BI) and implement SSO, OAuth2, and enterprise authentication. Oversee MLOps processes: model lifecycle management, automated testing, monitoring, and auditing using tools like MLflow or Azure ML. Mentor and guide junior engineers, foster best practices in code quality, documentation, and team collaboration. Stay current with advances in GenAI and contribute to technical strategy. This is a hybrid position. Expectation of days in office will be confirmed by your 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. Preferred Qualifications • 6+ years’ experience in software development, with at least 2+ years building GenAI/LLM applications. • Deep expertise in Python and associated AI/ML frameworks. Strong proficiency in JavaScript/TypeScript and frontend frameworks (React / Angular). • Proven experience with agentic frameworks (LangChain, LlamaIndex or similar) and vector databases. • Solid understanding of cloud architectures (Azure preferred), containerization (Docker), and CI/CD pipelines. • Demonstrated experience integrating with enterprise data platforms and Microsoft 365 ecosystem. • Hands-on experience in model evaluation and monitoring in production. • Excellent communication skills; ability to present to technical and non-technical stakeholders. • Experience leading or mentoring technical teams. Nice to Have • Exposure to image and voice AI models; experience integrating audio/image inputs in GenAI apps. • Familiarity with cloud functions, cost optimization, and scalable architecture. • Contributions to open-source or GenAI communities. Why Join Us? • Opportunity to lead GenAI innovation in a global enterprise technology environment • Work with cutting-edge tools, platforms, and real-world use cases • High visibility and autonomy in delivering solutions that drive real business impact • A collaborative and future-focused team environment at Visa Competitive compensation and benefits. Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Responsibilities

The role involves end-to-end ownership of Generative AI products, from architecture to deployment, while ensuring high standards in code quality and collaborative development. The candidate will also mentor a growing AI team and shape the technical vision for intelligent payment solutions.