Visa Consulting & Analytics (VCA) is seeking a Senior Manager to lead the design, build, deployment, and scaling of Generative AI–based agents for external clients, primarily banks and merchants. This role sits at the intersection of hands-on GenAI engineering, client-facing consulting delivery, and organizational leadership.

The role serves as the technical authority for AI agent development within VCA in the Central America and Caribbean region, with ownership of the end-to-end delivery lifecycle of client-facing GenAI solutions, from use case definition and proof of concept through production deployment and post–go-live optimization. The position is cloud-agnostic, with emphasis on deploying solutions into client or Visa-approved cloud environments.

The ideal candidate is highly technical and pragmatic, capable of writing production-grade agent code, leading blended teams of FTEs and third-party contractors, and translating complex AI capabilities into secure, scalable, and high-value solutions for Visa clients.

Key Responsibilities:

Gen

AI Agent Architecture and Hands-On Development:

• Act as the principal technical contributor for GenAI agent development within VCA.

• Design, build, and maintain LLM-powered agents, including prompt orchestration, retrieval-augmented generation, tool use, and multi-agent workflows.

• Write, review, and approve production code, defining coding standards, testing strategies, and evaluation frameworks.

• Select and integrate third-party tools, APIs, and GenAI frameworks while balancing scalability, security, and client constraints.

• Ensure compliance with responsible AI, security, privacy, and data protection standards aligned with Visa policies.

Client-Facing Solution Delivery:

• Own the end-to-end delivery of GenAI agent solutions for external clients.

• Partner with banks, merchants, and internal VCA consulting teams to understand workflows, constraints, and success metrics.

• Design and deploy solutions integrated with client systems and data sources.

• Ensure solutions are production-ready, including monitoring, logging, fallback mechanisms, and operational documentation.

Team Leadership and Delivery Management:

• Lead and scale delivery teams composed of FTEs and third-party contractors.

• Provide hands-on mentorship, code reviews, and architectural guidance.

• Define delivery rituals, milestones, and quality gates across engagements.

• Make build-versus-buy and internal-versus-external resourcing decisions aligned with VCA priorities.

Strategy, Adoption, and Scaling

• Own a prioritized roadmap of GenAI agent capabilities aligned with commercial priorities.

• Standardize and scale high-impact agent use cases across clients and regions.

• Act as a senior advisor to VCA leadership and client stakeholders on GenAI strategy, adoption, and trade-offs.

What Success Looks Like (First 6–12 Months)

• Multiple client-facing GenAI agents successfully deployed and adopted.

• A clearly defined and executed GenAI delivery playbook used across VCA.

• High-quality, maintainable agent codebases with strong governance and monitoring.

• Measurable impact on client outcomes, consulting efficiency, or revenue growth.

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.

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
• 8+ years of experience in software engineering, data science, or applied AI roles. Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (Master’s preferred).
• Proven experience building and deploying GenAI or LLM-based applications or agents.
• Strong proficiency in Python and production-grade distributed systems (Hadoop, Spark, or similar).
• Experience deploying solutions in cloud environments such as AWS, Azure, or GCP.
• Experience leading technical teams, including third-party contractors.
• Strong stakeholder management and communication skills.
• Experience delivering AI solutions for financial services, payments, banking, or merchant clients.
• Familiarity with agent orchestration frameworks, evaluation techniques, and monitoring.
• Background in consulting or professional services.
• Ability to balance rapid innovation with enterprise-grade governance.

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.

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.