Visa is hiring a

Principal ML Engineer, GenAI Knowledge Assets

Bengaluru, India
Full-Time

As a Principal Engineer for the GenAI Knowledge Assets team, you will play a critical role in driving the technical vision and direction of the team. You will work closely with all the stake holders across the organization to design and develop an enterprise-level solution for GenAI Knowledge Assets, including developing a business strategy, building knowledge management orchestration, and leading data product development to create value for Visa enterprise GenAI solutions.

  • AI / Generative AI represent a remarkable technological advancement with profound impact on the corporate landscape and a promise of increased worker efficiency. However, its effective utilization is contingent upon the availability of high-quality content for the right AI solutions and the right internal audiences. 
  • The strong strategic and operational management of Visa documents and data for use with our emerging set of GenAI tools will be critical. The principal engineer role will have an exciting set of responsibilities at the frontier of driving GenAI adoption and information stewardship. This role will be a critical catalyst for innovation in the use of GenAI. 
  • This role will be responsible for building architecture to execute on strategic priorities for enabling access to Visa’s valuable document and data assets.  driving access to Visa documents and data assets as well as developing the longer-term strategy for GenAI adoption and the required supporting cultural transformation.  

​ Essential Responsibilities:

  • Collaborate with project teams, data science teams and development teams to drive the technical roadmap and guide development and implementation of new data driven business solutions.
  • Drive technical standard and best practices, and continuously improve AI Platform engineering scalability.
  • Coaching and mentoring junior team members and evolving team talent pipeline.
  • Define a structured architectural approach to address the component parts of our document framework, formulate relevant hypotheses and support project work steps.
  • Champion a document stewardship program to support Visa’s productivity goals.
  • Drive effective implementation and evolution of go-forward document governance for access and use based on document content, confidentiality, and access requirements.
  • Drive change through creative, novel, disruptive, but highly practical and implementable solutions to the challenges faced.
  • Partner with Global Data Office to develop the required technological solutions to automate key document management functions and the evolving Visa Library capabilities to support our Visa Gen AI tools.
  • Monitor and understand global AI solutions landscape for deployment and application of internal knowledge to bring the best solutions and best practices to the Visa ecosystem. 
  • Lead the hunt, onboarding, management, and adoption of internal and external solutions to enterprise document and library management needs.

AI / Data Science 

  • Need broad technical knowledge and depth on AI / ML / Data Science to liaise with technical teams execute on responsibilities listed above effectively. 
  • Need experience working with knowledge management and Generative AI solutions.

Competencies 

  • A self-starter leader, detail-oriented problem solver, team builder, change agent and global cross-functional collaborator who loves to work with complex data technologies. Ideal candidates would be skilled in both hard and soft skills of AI and Change Management. 

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.

Basic Qualifications:
12+ years of relevant work experience with a Bachelor’s Degree or at least 9 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 6 years of work experience with a PhD, OR 15+ years of relevant work experience.

Preferred Qualifications:
15 or more years of experience with a Bachelor’s Degree or 12 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, or MD), PhD with 9+ years of experience
Ideal candidates would have experience with the implementation of knowledge frameworks and solutions for GenAI applications.
Experience with Rust, Golang, Java, Python, or C/C++
Expert in web service standards and related patterns (REST, gRPC)
Advanced knowledge of AI / Generative AI / Data Science.
Authority in architecting solutions with Continuous Integration and Continuous Delivery in mind
Expert in distributed in-memory computing technologies like Redis.
Strong interpersonal and leadership skills with effective communication (both written and verbal) skills and the ability to present sophisticated ideas in a clear & concise way, to different audiences.
Advanced knowledge of Microsoft Suite of Office Tools.
Curious and lifelong learner who keeps us to date on emerging trends and technology.
Successful track record of operating cross-functionally, ideally in a federated enterprise design.
Proven ability to work under deadlines and manage multiple projects with evolving requirements.
Team player possessing a strong drive to add value to the business direction.
Ability to influence the organization in order to make strategy happen.
A background in the payment domain is a plus.

Competencies
• A self-starter leader, detail-oriented problem solver, team builder, change agent and global cross-functional collaborator who loves to work with complex data technologies. Ideal candidates would be skilled in both hard and soft skills of AI and Change Management.

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.

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