Senior Manager, Intelligence & Data Solutions (IDS), Data Science AI Engineer

Visa Consulting & Analytics (VCA) is seeking a Senior Manager to lead the design build deployment and scaling of Generative AIbased 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 postgo-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

GenAI 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 612 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. 

Qualifications :

Basic Qualifications:

• 8 years of relevant work experience with a Bachelors 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. Bachelors degree in Computer Science Engineering Data Science or a related field (Masters 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.

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.

Remote Work :

No

Employment Type :

Full-time