Senior Manager of Software Engineering AI/ML Solutions

As a Senior Manager of Software Engineering at JPMorgan Chase within the Consumer and community banking- Data technology, you play a crucial role in mentoring and advising multiple technical teams to drive financial technologies forward. Your leadership is key in providing technical coaching and guidance to various teams, while also anticipating the needs and dependencies of other functions within the firm. Your expertise influences budgeting and technical decisions to enhance operational efficiencies and functionalities. **Key Responsibilities:** - Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers handling basic to moderately complex tasks. - Be accountable for decisions affecting team resources, budget, tactical operations, and the execution of processes and procedures. - Ensure successful collaboration across teams and stakeholders. - Identify and mitigate issues in executing a book of work, escalating as necessary. - Provide input to leadership on budget, approach, and technical considerations for improved operational efficiencies. - Foster a culture of diversity, equity, inclusion, and respect within the team. - Enable the Gen AI platform and implement Gen AI Use cases, LLM fine-tuning, and multi-agent orchestration. - Manage an AIML Engineering scrum team comprising ML engineers, Senior ML engineers, and lead ML engineer. **Qualifications Required:** - Formal training or certification in software engineering concepts with 5+ years of applied experience. - Extensive practical experience in Python and AWS cloud services (EKS, EMR, ECS, DynamoDB). - Experience in DataBricks ML lifecycle development. - Advanced knowledge in software engineering, AI/ML, MLOps, and data governance. - Demonstrated experience in leading complex projects, system design, testing, and ensuring operational stability. - Expertise in computer science, computer engineering, mathematics, or related technical field. - Understanding of large language model (LLM) approaches like Retrieval-Augmented Generation (RAG). **Preferred Qualifications:** - Real-time model serving experience with Seldon, Ray, or AWS SM. - Experience in agent-based model. Please note: The job description does not include any additional details about the company.,