JPMorgan Strategy Lead AI/ML Governance & Enablement -Vice President 

United States, Illinois, Chicago 

97836983

As a Strategy Lead in the Strategic AI Governance & Enablement team, you’ll be responsible for overseeing the integration of AI into production environments, ensuring that they are scalable, reliable, and user-friendly. Additionally, you will ensure that each project follows the Risk Management & Compliance (RM&C) AI/ML Lifecycle, with agreed upon roles and responsibilities across technology teams and business units.

Job Responsibilities

• Develop and implement strategies for integrating AI models into existing and new applications, while ensuring that integration processes align with business goals and technical requirements
• Partner with data scientists to understand the models being developed and application development team to understand functionality to drive operational testing and validation
• Collaborate with software engineers, product managers, data science and other stakeholder teams to ensure seamless integration of AI solutions
• Oversee the technical aspects of AI model deployment, including API development, microservices architecture, and cloud infrastructure; monitor and troubleshoot issues related to model integration and deployment
• Leverage strong project management skills to ensure each project follows the defined lifecycle, with agreed upon roles and responsibilities across technology teams and business units
• Stay updated on the latest advancements in AI and integration technologies
• Propose and implement improvements to integration and governance processes and tools
• Guide training and resources to employees on AI governance, ethical considerations, and best practices while fostering a culture of continuous learning and improvement
• Execute governance frameworks and processes to ensure effective oversight of the LLM lifecycle.
• Produce reporting and MIS for program governance forums, senior management, and wider stakeholder groups

Required Qualifications, Capabilities, And Skills

• Bachelor’s degree in Computer Science, Software Engineering, or a related field and 7 years applicable experience
• Proven experience in integrating AI models into production environments
• Strong background in software engineering and development lifecycle
• Experience with cloud platforms such as AWS, Azure and programming languages such as Python
• Experience with RESTful APIs, and microservices architecture
• Understanding of machine learning concepts and algorithms
• Well organized, detail oriented, process driven and able to work systematically
• Strong project management skills, with the ability to coordinate between multiple teams
• Familiarity with Agile and Scrum methodologies
• Excellent communication skills to convey technical concepts to non-technical stakeholders