VCA AI Agent Engineering Sr. Manager

Visa•San Francisco, CA

5d•Hybrid

About The Position

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. The Sr. Manager is responsible for the hands-on implementation and integration of AI agents, ensuring seamless tool integrations (such as with analytics software), efficient code deployment, and ongoing performance optimization. This role works closely with the Senior Manager to execute agent builds, leveraging open-source frameworks for rapid iteration and operational efficiency. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Requirements

8 or more years of relevant work experience with a Bachelor 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

Nice To Haves

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
Extensive experience in AI agent development, integration, and deployment in enterprise environments.
Proven ability to implement and optimize AI agents using open-source frameworks.
Strong background in tool integration, code deployment, and performance optimization.
Demonstrated expertise in testing, validation, and troubleshooting of AI systems.
Excellent analytical, problem-solving, and technical skills.
Outstanding communication and collaboration abilities.
Ability to manage multiple projects concurrently and deliver results in a fast-paced environment.
Deep understanding of digital trends, Gen AI Models and technologies, and enterprise platforms.
Team player with a collaborative approach and commitment to developing talent.

Responsibilities

Agent Implementation: Lead the hands-on development and integration of AI agents, ensuring robust functionality and seamless user experience.
Tool Integration: Integrate AI agents with analytics software and other enterprise tools to enhance platform capabilities.
Code Deployment: Manage code deployment processes, ensuring reliability, scalability, and compliance with best practices.
Performance Optimization: Continuously monitor and optimize agent performance, identifying opportunities for improvement and implementing solutions.
Collaboration: Work closely with the Senior Manager and cross-functional teams to execute agent builds and deliver high-impact solutions.
Open-Source Frameworks: Utilize open-source frameworks to accelerate development cycles and support rapid iteration.
Testing & Validation: Conduct thorough testing and validation of agent integrations to ensure accuracy and reliability.
Documentation: Maintain clear documentation of agent builds, integrations, and deployment processes.
Continuous Improvement: Gather user feedback and drive ongoing enhancements to agent capabilities and integrations.
Team Support: Mentor junior team members and contribute to a collaborative, innovative work environment.