VCA AI Agent Engineering Sr. Manager

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.

Key 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.

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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.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Basic Qualifications

• 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.

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.

• 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.

Work Hours

Varies upon the needs of the department.

Travel Requirements

This position requires travel 5‑10% of the time.

Mental/Physical Requirements

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

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 will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY

The estimated salary range for a new hire into this position is  to  USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job‑related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

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