Visa VCA AI Agent Engineering Sr. Manager \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . VCA AI Agent Engineering Sr. Manager Full-time Job Family Group: Product and Design Company Description 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. Job Description 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. 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. Qualifications 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. Additional Information 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 this position is 143,700.00 to 230,200.00 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. I'm interested I'm interestedPrivacy NoticeCookies Settings I'm interested Refer a friend share this job Share on LinkedIn Share on Facebook Share on Twitter Share via email Share on Xing Share on WeChat Other jobs at Visa Lead Data Architect Bellevue, WA Director, Global Data Office Foster City, CA Senior Manager, Employee Experience & Learning Foster City, CA Show all jobs Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. VCA AI Agent Engineering Sr. Manager Atlanta, GA, USA Full-time I'm interested I'm interested

The role requires 8 or more years of relevant work experience with a Bachelor Degree, or at least 5 years of experience with an Advanced Degree, or 2 years of work experience with a PhD. Preferred qualifications include 9 or more years of relevant work experience with a Bachelor Degree, or 7 or more relevant years of experience with an Advanced Degree, or 3 or more years of experience with a PhD. Extensive experience in AI agent development, integration, and deployment in enterprise environments is necessary. Proven ability to implement and optimize AI agents using open-source frameworks is also required. A strong background in tool integration, code deployment, and performance optimization is essential. Demonstrated expertise in testing, validation, and troubleshooting of AI systems is needed, along with excellent analytical, problem-solving, and technical skills.