Sr Director of Software Engineering - AI/ML Solutions

Posted Yesterday
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Plano, TX, USA
Hybrid
Senior level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Leads multiple engineering departments developing and governing production-grade agentic AI systems. Responsibilities include designing AI architectures, building LLM APIs and microservices, creating reusable AI components, managing the full ML lifecycle, optimizing inference, partnering on data pipelines, setting engineering standards, and advancing responsible AI-enabled development practices across teams.
Summary Generated by Built In
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 
About Us

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

About the TeamOur 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.

Skills Required

  • Formal training or certification in software engineering concepts
  • 10+ years of applied software engineering experience
  • 5+ years leading technologists and managing complex technical initiatives
  • Strong Python engineering skills
  • Experience with PyTorch or TensorFlow
  • Expertise with vector storage systems and agent memory design
  • Experience developing autonomous long-running agents using tools, skills, and human-in-the-loop workflows
  • Experience deploying LLM-backed APIs and microservices to production
  • Deep MLOps experience, including CI/CD, monitoring, incident response, and model governance
  • Cloud-native AI deployment experience with AWS or Azure
  • Experience optimizing AI deployment cost and performance
  • Commitment to responsible AI practices and operational excellence
  • Strong communication and collaboration skills across product, risk, legal, and compliance teams
  • Experience leading adoption of agentic AI-enabled development practices across teams
  • Understanding of human-in-the-loop validation, auditability, traceability, secure data handling, and AI governance
  • Experience operating AI systems in regulated environments
  • 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

JPMorganChase Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.

  • Healthcare Strength Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
  • Parental & Family Support Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
  • Retirement Support Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.

JPMorganChase Insights

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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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