AI/LLM Sr Manager of Software Engineering - Java and Python

When you mentor and advise multiple technical teams and move financial technologies forward, it's a big challenge with big impact.

You were made for this.

As a Senior Manager of Software Engineering at JPMorganChase within the Consumer and Community Banking Core Platform Engineering team, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm.

As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities.

Job responsibilities


* Provide overall direction, oversight, and coaching for a team of mid-level software engineers delivering AI-enabled capabilities across the ProductGPT ecosystem, spanning basic to moderately complex tasks, and evolving toward more advanced agentic and workflow-based solutions


* Lead with a hands-on mindset: stay close to design and implementation, unblock delivery, and drive engineering excellence through code reviews, architecture guidance, and pragmatic decision-making


* Be accountable for decisions that influence teams' resources, budget, tactical operations, and the execution and implementation of processes and procedures, especially as priorities shift in a fast-moving AI domain


* Establish and iterate on AI development strategies for use-case delivery, including LLM integration approaches, evaluation strategies, prompt/context management, orchestration patterns, and safe deployment practices


* Ensure successful collaboration across teams and stakeholders in multiple locations, partnering closely with product team representation to align on outcomes, milestones, tradeoffs, and sequencing


* Manage and prioritize multiple concurrent requests and initiatives, balancing near-term delivery with platform health, operational readiness, and long-term technical direction


* Drive cloud-native engineering practices leveraging AWS services and modern data/storage patterns, ensuring solutions are scalable, observable, secure, and cost-aware


* Promote strong engineering fundamentals across the stack, including API design, data modeling, resiliency, testing discipline, CI/CD, and operational excellence


* Identifies and mitigates issues to execute a book of work while escalating issues as necessary


* Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team


* Creates a culture of diversity, opportunity, inclusion, and respect for team members and prioritizes diverse representation

Required qualifications, capabilities, and skills


* Formal training or certification on Software Engineering concepts and 5+ years applied experience.

In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of e...