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

Job Responsibilities

• Provide overall direction, oversight, and coaching for a team of mid-level software engineers delivering AI-enabled capabilities across the ProductGPT ecosystem.
• 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.
• 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.
• Create 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.
• 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise.
• Experience leading teams of technologists.
• Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives.
• Strong software engineering foundation with hands-on experience building services in Java and Python, working with databases, and using modern integration patterns.
• Working knowledge of AI/LLM-enabled application development, including prompt/context design, orchestration and agentic patterns, and evaluation/quality approaches.
• Hands-on experience using AI coding assistants (e.g., GitHub Copilot, Claude Code, or firm-approved equivalents) to accelerate secure, high-quality development, test automation, and code review within enterprise guardrails.
• Ability to set clear technical direction while remaining flexible and adaptive in a rapidly evolving problem space (e.g., AI-enabled product development).
• Demonstrated experience partnering with product leaders and stakeholders to translate ambiguous requirements into actionable technical plans and measurable delivered results.
• Experience hiring, developing, and recognizing talent, with a track record of building strong engineering culture and effective feedback mechanisms.
• Practical cloud-native experience designing, deploying, and operating production systems on AWS.
• Experience in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines.

About The Team

The Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.