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

Are you passionate about the future of AI and eager to shape the next generation of intelligent applications using AI, ML and Automation? Visa’s Corporate Applications & Intelligence (CAI) team is seeking a seasoned full-stack Sr. Consultant Software Engineer to join our growing team for our internal corporate GenAI products. We are looking for highly motivated software developers, who can continually research and apply the newest technologies to design and develop GenAI products, independently tackle issues and influence the teams to adopt the best test practices. The environment is fast-paced, and our expectation is the candidate to be nimble on their feet to adapt with the change of pace and ensure the deliveries are met on time with quality.  

In this role, you'll be at the forefront of innovation, driving the development and implementation of cutting-edge Generative AI solutions that will revolutionize Visa's corporate functions. If you're ready to make a significant impact and work with a team of brilliant minds, this is the opportunity for you!

Essential Functions

• Understand and analyze product requirements and collaborate with product managers and architects to clarify requirements and ensure alignment.

• Design, develop and implement software features with the end user in mind.  Write clean, efficient, and maintainable code to implement these features. Optimize code and model performance for efficiency and scalability.

• Develop and execute unit, integration, and system tests to ensure feature reliability. Implement automated test cases with high code coverage. Validate the performance and accuracy of integrated AI models.

• Integrate Generative AI models into the software application.  Ensure that models are properly interfaced with other system components.

• Stay updated with the latest developments in AI and Machine Learning (ML) technologies to provide informed support to the team, including prompt processing, contextual grounding, actionable response generation, system prompt generation, and GenAI UI frameworks.

• Participate in code reviews to ensure code quality and consistency.

• Implement CI/CD practices to automate testing and deployment processes. Ensure that new features are seamlessly integrated into production environments.

• Collaborate with security, privacy, and governance teams to ensure that the products developed comply with relevant policies, standards, and regulations.

• Liaise with other developers, business units, product managers, engineering, and other applicable groups to ensure flawless execution

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
 

Qualifications

Basic Qualifications
• 10 or more years of work experience with a Bachelor’s Degree in Computer Science, Information Technology, Engineering, Management Information Systems, or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD) 

Preferred Qualifications
• Technical Skills: Full comprehension of full stack enterprise Software Development Lifecycle and risks, knowledge of Machine Learning and GenAI, familiarity with natural language processing (NLP) techniques and libraries, search technologies, chatbot interactions, web development, database systems (e.g., ChromaDB, Postgres, Redis, Neo4j, FAISS), cloud platforms & platform services (e.g., AWS, GCP, Azure). Understanding of CI/CD pipelines and tools, knowledge of containerization technologies (e.g., Docker, Kubernetes)
• Hands-on Coding Experience: Proficiency and usage of programming languages (e.g., Python, Java, C#, GoLang, R), front-end technologies (e.g., HTML, CSS, JavaScript, TypeScript, React, Angular), back-end frameworks (SpringBoot, Fast API, Flask), GenAI Foundational frameworks (Hugging face, Embeddings, LLM models, TensorFlow, PyTorch), REST API management, database systems (e.g., SQL, NoSQL). Experience in writing clean, efficient, and maintainable code, code reviews, unit testing and coding standards, proficiency in version control systems like Git.
• Delivery of High-Quality Software Applications: Experience with software design patterns and principles, Knowledge of testing frameworks and methodologies, ability to write comprehensive unit, integration, and system tests.
• Prompt Processing Understanding: Developing efficient mechanisms for prompt processing, integrating prompt processing systems with LLMs, reprocessing data to ensure it is suitable for prompt processing, implementing solutions to support asynchronous programming, knowledge of Gen AI Frameworks/concepts (e.g., LangChain, RAG, OpenAI libraries, sentence transformers libraries)
• Contextual Grounding Knowledge: Proficiency in keyword based, semantic, and vector search techniques, skills in building and utilizing knowledge graphs to link and organize data, ability to use data mining techniques to extract useful information from large and diverse datasets, expertise in information retrieval and contextual analysis.
• Actionable Response Generation: Expertise in generating contextually relevant responses, skills in designing and optimizing prompts to guide language models effectively, ability to develop and implement mechanisms that score, and rank responses based on relevance and actionability.
• LLM Interaction Experience: Knowledge of various prompting techniques. (e.g., zero shot, few-shot, chain of thought), ability to write effective prompts to guide system behavior to drive conversation according to business expectations, knowledge in effective organization, versioning and tracking of prompts.
• User Interaction and Interface Proficiency: Knowledge of UI frameworks like React/Angular and frontend technologies like JavaScript/TypeScript, knowledge of building user interfaces, proficiency in design tools like Figma.
• Agile Development Proficiency: Proficiency in Agile methodologies. experience working in cross-functional teams, proficiency in tools like JIRA.
• Business Acumen: Ability to understand the big picture and the success criteria, stay focused to achieve goals, conduct systematic and accurate research, get into details, prevent avoidable failures. A passion for innovation and a commitment to staying up-to-date with the latest technological advancements in Generative AI.
• Communications: Strong technical communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.

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.