Senior Manager of Software Engineering AI/ML Solutions

When you mentor and advise multiple technical teams and advance financial technologies, you face a significant challenge with a profound impact. Your innate abilities align perfectly with this role. As a Senior Manager of Software Engineering at JPMorgan Chase in the Consumer and Community Banking-Data Technology division, you play a crucial leadership position. Your responsibilities include providing technical guidance and coaching to multiple teams while anticipating the needs and dependencies of various functions within the firm. Your expertise influences budget decisions and technical considerations to enhance operational efficiencies and functionalities. You will: - Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers handling basic to moderately complex tasks. - Take accountability for decisions affecting the team's resources, budget, tactical operations, and the execution of processes. - Ensure successful collaboration among teams and stakeholders, identifying and addressing issues while escalating them when necessary. - Offer input to leadership on budget, approach, and technical considerations to enhance operational efficiencies and team functionality. - Foster a culture of diversity, equity, inclusion, and respect within the team, emphasizing diverse representation. - Enable the Gen AI platform and implement Gen AI Use cases, LLM fine-tuning, and multi-agent orchestration. - Manage an AIML Engineering scrum team consisting of ML engineers, Senior ML engineers, and lead ML engineers. Required qualifications, capabilities, and skills: - Formal training or certification in software engineering concepts and a minimum of 5 years of applied experience. - Extensive practical experience with Python and AWS cloud services, including EKS, EMR, ECS, and DynamoDB. - Proficiency in DataBricks ML lifecycle development. - Advanced knowledge in software engineering, AI/ML, MLOps, and data governance. - Demonstrated experience leading complex projects, system design, testing, and ensuring operational stability. - Expertise in computer science, computer engineering, mathematics, or related technical fields. - Understanding of large language model (LLM) approaches like Retrieval-Augmented Generation (RAG). Preferred qualifications, capabilities, and skills: - Real-time model serving experience with Seldon, Ray, or AWS SM. - Experience in agent-based model development. This role offers an exciting opportunity to lead and influence cutting-edge technology projects within a dynamic and innovative environment.,