Lead a team of software engineers and AI/ML practitioners, develop AI-driven software solutions, mentor team members, and collaborate with stakeholders.
Job Description
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As an Applied AI ML Lead at JPMorgan Chase within the Commercial and Investment Bank's Engineering and Architecture Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job Responsibilities
Required qualifications, capabilities, and skills
Preferred qualifications, capabilities, and skills
About Us
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
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.
About the Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As an Applied AI ML Lead at JPMorgan Chase within the Commercial and Investment Bank's Engineering and Architecture Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job Responsibilities
- Lead a local team of software engineers and applied AI/ML practitioners, driving accountability and engagement within a global organization.
- Mentor and guide team members, fostering an inclusive culture with a growth mindset and supporting career development.
- Collaborate with product and business teams to set technical vision and execute strategic roadmaps for AI-driven software solutions.
- Translate business requirements into robust software and AI/ML specifications, define milestones, and ensure timely delivery using Agile methodologies.
- Architect, design, and develop secure, high-quality production software systems using Java or Python, integrating AI/ML techniques such as LLMs, Generative AI, and coding assistants.
- Review, debug, and optimize code written by others, ensuring operational stability and scalability.
- Identify opportunities to automate and remediate recurring issues, improving overall system reliability.
- Design experiments, implement algorithms, validate results, and productionize performant, scalable, and trustworthy AI/ML solutions.
- Work closely with cross-functional stakeholders to define goals, maintain alignment, and drive evaluation of architectural designs and technical solutions.
- Lead evaluation sessions with external vendors, startups, and internal teams to assess technical credentials and applicability.
- Contribute to and lead communities of practice across Software Engineering and AI/ML, driving awareness and adoption of new technologies.
Required qualifications, capabilities, and skills
- Formal training or certification in software engineering and/or applied AI/ML concepts, with 5+ years of hands-on experience in software development and AI/ML integration.
- Proven track record of managing and mentoring software engineering or AI/ML teams, with experience as a hands-on practitioner delivering production-grade solutions.
- Advanced proficiency in Java or Python for software system development; strong grasp of software engineering best practices, system design, application development, testing, and operational stability.
- Experience integrating AI/ML techniques into software systems, including familiarity with LLMs, Generative AI, NLP, and coding assistants.
- Good understanding of data structures, algorithms, and practical machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
- Proficiency in automation, continuous delivery (CI/CD), and cloud-native development (preferably AWS).
- Strong technical judgment, ability to anticipate bottlenecks, escalate effectively, and balance business needs with technical constraints.
- Excellent communication, negotiation, and leadership skills; ability to inspire collaboration among technical and non-technical teams.
Preferred qualifications, capabilities, and skills
- 14+ years experience in BE/B. Tech/BS, 8+ years in ME/M. Tech/MS), or 5+ years (PhD) of relevant experience in Computer Science, Information Systems, or related fields.
- Experience working at code level with advanced AI/ML business applications (e.g., LLMs, Generative AI, NLP).
- AWS Certifications (Solution Architect Associate or Professional) are advantageous.
- Familiarity with agentic workflows and frameworks (e.g., LangChain, LangGraph, Auto-GPT).
About Us
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
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.
About the Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Top Skills
AWS
Java
Python
PyTorch
Scikit-Learn
TensorFlow
JPMorganChase San Francisco, California, USA Office
San Francisco, CA, United States
Similar Jobs at JPMorganChase
Financial Services
As a Software Engineer III in Site Reliability, you will enhance system reliability and scalability through automation, code, and cloud infrastructure, collaborating across teams and solving complex problems.
Top Skills:
AWSAws EksDatadogDockerDynatraceEcsGitlabGrafanaJavaJenkinsKubernetesNoSQLPrometheusPythonSplunkSpring BootSQLTerraform
Financial Services
Lead a small team to deliver high-quality technology solutions. Provide technical guidance, develop secure code, and influence product design.
Top Skills:
CloudJavaOauth2Openid ConnectSAML
Financial Services
As a Java Software Engineer III, you'll resolve complex technical issues, optimize system performance, and develop high-quality production code while collaborating with stakeholders.
Top Skills:
Angular JsBitbucketConfluenceCSSDatadogDockerDynatraceEcsGitGrafanaHibernateHTMLIntellijJavaJavaScriptJIRAJqueryKubernetesMavenNoSQLPrometheusReact JsRest ApiSourcetreeSplunkSpring BootSQL
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

