VCA AI Agent Development Director

Visa•San Francisco, CA

11d•Hybrid

About The Position

The Director, AI Agent Development leads the strategic design and development of AI agents to support key business functions such as market analysis, proposal generation, and risk assessment. This role is responsible for prompt engineering, architectural decisions, and rigorous testing to ensure agent accuracy and reliability. The Director develops modular frameworks to enable scalable workflows and collaborates across teams to deliver innovative, high-impact Gen AI solutions. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Requirements

10 or more years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD

Nice To Haves

12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD
Extensive experience in AI agent development, prompt engineering, and enterprise technology environments.
Proven ability to design, build, and deploy Gen AI agents for complex business use cases.
Strong background in architecture, modular frameworks, and scalable technology solutions.
Demonstrated expertise in testing, validation, and ensuring reliability of Gen AI systems.
Excellent analytical, problem-solving, and strategic thinking skills.
Outstanding communication, storytelling, and presentation abilities.
Ability to manage multiple projects concurrently and deliver results in a fast-paced environment.
Deep understanding of digital trends, AI/ML technologies, and enterprise platforms.
Team player with a collaborative approach and commitment to developing talent.

Responsibilities

Strategic Leadership: Define and drive the vision, strategy, and roadmap for Gen AI agent development, aligning with organizational goals and priorities.
Agent Design & Development: Lead the design and development of AI agents for diverse use cases, including market analysis, proposal generation, and risk assessment.
Prompt Engineering: Develop and refine prompt engineering techniques to optimize agent performance and output quality.
Architecture Decisions: Make high-level architectural decisions to ensure agents are robust, scalable, and easily integrated into enterprise workflows.
Testing & Reliability: Oversee testing protocols to validate agent accuracy, reliability, and compliance with business requirements.
Modular Frameworks: Build modular frameworks that support scalable and flexible agent development and deployment.
Cross-Functional Collaboration: Work closely with product, engineering, and business teams to deliver innovative AI solutions.
Continuous Improvement: Monitor agent performance, gather user feedback, and drive ongoing enhancements to agent capabilities.
Documentation & Standards: Establish and maintain documentation, coding standards, and best practices for agent development.
Talent Development: Mentor and develop a high-performing team, fostering a culture of innovation, collaboration, and continuous learning.