We're seeking top talents to develop high-quality machine learning models, services, and scalable data processing pipelines.
As an Applied AI/ML Engineering Director within Consumer & Community Banking, you will be a hands-on technical leader who drives the adoption of AI-powered solutions to solve real business problems at speed and scale. You will collaborate across lines of business and functions to architect, develop, and productionize high-quality machine learning models, agentic AI systems, and intelligent platforms that deliver measurable impact on both technology and business outcomes.
A core part of your mission will be accelerating developer productivity by identifying and solving engineering bottlenecks, championing AI4Tech adoption, and empowering engineering teams to build smarter and faster using modern AI tooling and practices. You will design and implement highly scalable, reliable data processing pipelines and drive analysis and insights that optimize business results.
Job Responsibilities
- Lead and influence technical direction across multiple teams and geographies, setting a clear and compelling engineering vision for Applied AI/ML.
- Motivate and align engineers around a common technical strategy, fostering a culture of innovation, experimentation, and continuous improvement.
- Represent and defend engineering decisions for the Hyderabad location, serving as the senior technical voice in cross-site collaboration.
- Architect and deliver production-grade Agentic AI and AI/ML solutions using Java, Python, and modern AI frameworks to rapidly address business challenges.
- Design, build, and deploy end-to-end AI systems including Retrieval-Augmented Generation (RAG) architectures, intelligent agents, and scalable ML platforms.
- Experiment with emerging AI technologies and rapidly prototype solutions that translate into production-ready products.
- Champion and accelerate AI for Tech adoption across engineering teams, enabling developers to leverage AI-assisted tooling for code generation, testing, debugging, and workflow automation.
- Identify and resolve engineering friction points by introducing AI-driven solutions that measurably improve developer velocity, code quality, and operational efficiency.
- Establish best practices, reusable patterns, and reference architectures that make it easy for teams to integrate AI into their daily engineering workflows.
- Design and implement highly scalable and reliable data processing pipelines that power AI/ML models and business analytics.
- Perform deep analysis and generate actionable insights to promote and optimize business results.
Required qualifications, capabilities and skills
- Deep, hands-on proficiency in Java and Python with extensive experience designing, building, and deploying AI/ML solutions in production environments.
- Demonstrated expertise in Agentic AI, Retrieval-Augmented Generation (RAG), large language model integration, prompt engineering, and related modern AI architectures.
- Proven track record of leading and influencing cross-country engineering projects through collaboration and technical authority — not just management.
- Ability to rapidly translate complex business problems into pragmatic, scalable AI/ML solutions with measurable outcomes.
- Experience driving engineering productivity improvements through AI-powered tooling, automation, and modern development practices.
- Exceptional ability to explain complex technical concepts clearly, craft compelling technical narratives, and influence senior stakeholders and engineering teams alike.
- Relentless focus on raising the bar — improving product efficiency, system health, and team capabilities through sustained technical contributions.
- A portfolio of tangible results showing how your technical leadership improved product quality, engineering velocity, or business performance.
Preferred qualifications, capabilities and skills
- Experience leading developer productivity initiatives within a large-scale engineering organization.
- Familiarity with enterprise-scale ML platforms, MLOps practices, and CI/CD pipelines for AI/ML workloads.
- Exposure to financial services, consumer technology, or similarly regulated, high-scale environments.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.
Skills Required
- Deep, hands-on proficiency in Java and Python for production AI/ML systems.
- Designing, building, and deploying AI/ML solutions in production environments.
- Expertise in Agentic AI, Retrieval-Augmented Generation (RAG), LLM integration, and prompt engineering.
- Proven track record leading and influencing cross-country engineering projects.
- Ability to translate complex business problems into pragmatic, scalable AI/ML solutions.
- Experience driving engineering productivity improvements via AI tooling and automation.
- Exceptional ability to explain complex technical concepts and influence senior stakeholders.
- Portfolio demonstrating improved product quality, engineering velocity, or business performance through technical leadership.
- Experience leading developer productivity initiatives in large-scale engineering organizations.
- Familiarity with enterprise-scale ML platforms, MLOps practices, and CI/CD pipelines for AI/ML workloads.
- Exposure to financial services or similarly regulated, high-scale environments.
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.
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Healthcare Strength — Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
JPMorganChase Insights
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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.
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