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Sr Director of Software Engineering - AI/ML Solutions

JPMorgan Chase & Co.

Plano, TX, United StatesFull Time

JPMorgan Chase & Co.

Posted 2026-09-11

About the role

Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let’s push the boundaries of what's possible together.  As a Senior Director of Software Engineering at JPMorganChase within Consumer & Community Banking, you lead multiple technical areas, manage the activities of multiple departments, and collaborate across technical domains. Your expertise is applied cross-functionally to drive the adoption and implementation of technical methods within various teams and aid the firm in remaining at the forefront of industry trends, best practices, and technological advances.  Job responsibilities Design and implement agentic AI reference architectures, including orchestration, retrieval, memory, guardrails, and evaluation harnesses. Write production-quality Python code (PyTorch or TensorFlow as needed) and review critical-path code  Create reusable components for prompt management, evaluators, safety filters, connectors, embeddings pipelines, and memory stores  Build and operate LLM-powered APIs and microservices integrated into advisor, client, and internal workflows  Own the end-to-end ML lifecycle: experimentation, CI/CD, automated testing, monitoring, drift detection, versioning, and rollback  Optimize inference for latency, throughput, caching, batching, model selection, and cost per inference  Partner with data teams on structured and unstructured data pipelines, document ingestion, metadata, and access controls  Set engineering standards for agentic AI systems and lead design reviews  Influence roadmap and priorities through technical insight and delivery  Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale.    Required qualifications, capabilities, and skills   Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise Strong Python engineering skills; experience with PyTorch or TensorFlow  Expertise working with Vector storage systems and designing memory for Agents  Expertise developing long running agents that run autonomously using tools, skills and human in the loop  Proven experience deploying LLM-backed services to production (APIs, microservices)  Deep MLOps experience, including CI/CD, monitoring, incident response, and model governance  Cloud-native AI deployment experience (AWS or Azure), with cost and performance optimization  Demonstrated commitment to responsible AI practices and operational excellence  Strong communication and collaboration skills, working across product, risk, legal, and compliance teams  Demonstrated experience designing and leading adoption of agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data.  Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk-based governance; ability to influence senior technical leaders on safe scaling patterns and reuse.     Preferred qualifications, capabilities, and skills   Background operating AI systems in regulated environments (finance, healthcare, etc.)  Experience with prompt engineering and LLM orchestration  Knowledge of safety filters, audit logging, and explainability in production systems  Experience mentoring senior engineers and leading architecture discussions  Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.  We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.  We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our  FAQs  for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans

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