Senior Manager- (Agentic AI Development/Solution/Client facing)

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

This role is designed for a hands-on AI technologist who can independently design, prototype, and demonstrate Agentic AI solutions, while also operating in a consulting environment. You will personally build proof-of-concepts and demos, translate client problem statements into agentic AI architectures, and then lead full solution builds in collaboration with market teams, data engineers, AI engineers, and third-party vendors.

In this role, you are expected to provide:

Hands-on AI Solution Development & Prototyping:

Architect, prototype, and develop end-to-end agentic AI use cases—including data pipelines, LLM workflows, tools, and agents—culminating in working demos and proof-of-concepts that can be used with clients and internal stakeholders

Design and implement MLOps patterns in partnership with data science, data engineering, and Global AI teams, including model versioning, evaluation, monitoring, and deployment workflows

Independently build AI prototypes and demos (e.g., agentic workflows, RAG systems, multi-agent orchestration) to validate concepts before scaling with engineering teams

Cross-functional Collaboration & Stakeholder Engagement:

Act as the AI SME representing VCA AP to collaborate with technology, data science organization to create the right Agentic AI solutions for the FI and merchant clients

Partner with AP market teams to co-create, validate, and scale AI solutions—serving as the technical lead who bridges client needs, market context, and engineering execution

Manage and guide third-party AI vendors or platform partners as part of solution delivery when applicable

End-to-End Agentic AI Solution Delivery & Quality Ownership:

Lead end-to-end Agentic AI solution builds—from client problem framing through concept design, prototyping, and production handover.

Translate client business problems into agentic AI architectures, defining agents, tools, workflows, evaluation metrics, and deployment patterns.

Act as the technical lead working with data engineers, AI engineers, platform teams, and third-party vendors to deliver production-grade solutions.

Ensure solution quality across performance, scalability, security, cost efficiency, and responsible AI considerations.

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

We are looking to hire candidates that have already accumulated a variety of experience, you will be curious about the payments industry, results-driven and client-centric. As a candidate you should have both technical and business acumen

12+ years of relevant professional experience in applied AI, analytics, or software-based solution development, with a strong track record of hands-on delivery of AI or Generative AI solutions.

Experience building end-to-end AI solutions that integrate data ingestion, model inference, orchestration, and user-facing interfaces (e.g., APIs, dashboards, lightweight UIs).

Demonstrated ability to independently design and build working AI prototypes and demos, not just conceptual architectures.

Ability to communicate complex AI concepts through live demos, prototypes, and walkthroughs with both technical and non-technical stakeholders.

Ability to develop LLM-based agentic workflows to support suitable business use cases. Essential for applying AI to real-world problem

Proficiency in programming languages such as Python and SQL

Expertise in Generative AI frameworks and libraries, e.g., LangChain, LlamaIndex, AutoGen, CrewAI, Langraph, llamacpp & OpenAI. Specific expertise relevant to the job role

Good knowledge on Prompt engineering techniques and cost optimization strategies for Closed Source LLMs.

Proficiency in developing LLM-based RAG (Retrieval Augmented Generation)

Strong debugging and problem-solving skills across data, model, prompt, and orchestration layers.

What will also help:

Understanding of Payments and Banking Industry including Consumer Credit, Consumer debit, Small Business, Commercial, Co-Brand and Merchant

Prior consulting experience is beneficial but not mandatory; candidates from strong engineering, AI product, or applied research backgrounds are strongly encouraged to apply

Experience using demos as a consulting tool to drive client understanding, alignment, and decision-making.

Willingness to travel