Join us to make a meaningful impact as you lead a talented team in building advanced AI-driven software solutions. You will have the opportunity to grow your career, collaborate globally, and influence the technical vision of our organization. We value your expertise in software engineering and AI/ML, and offer a dynamic environment where your ideas and leadership drive real change. Experience the benefits of working with cutting-edge technology and a supportive, inclusive team. Together, we push the boundaries of what’s possible.
As a Software Engineering Lead in our AI/ML Solutions Team, you will architect, design, and deliver secure, high-quality production software systems. You will collaborate with product and business teams to set technical vision and execute strategic roadmaps for AI-driven solutions. Your role involves translating business requirements into robust software and AI/ML specifications, ensuring timely delivery using Agile methodologies. You will foster a culture of innovation, accountability, and engagement within a global organization. Your leadership will help drive adoption of enterprise-authorized AI-assisted engineering practices and promote consistent validation standards across the team.
Job Responsibilities:
- Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond conventional approaches.
- Develop secure, high-quality production code, review and debug code written by others.
- Lead a local team of software engineers and applied AI/ML practitioners, driving accountability and engagement.
- Collaborate with product and business teams to set technical vision and execute strategic roadmaps for AI-driven 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.
- Identify opportunities to automate and remediate recurring issues, improving overall system reliability.
- Design experiments, implement algorithms, validate results, and productionize scalable and trustworthy AI/ML solutions.
- Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
- Establish consistent validation standards, including secure coding, peer review, automated testing, and promote reuse of effective patterns.
- Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities.
Required Qualifications, Capabilities, and Skills:
- Formal training or certification in software engineering concepts.
- Familiarity with agentic workflows and frameworks (e.g., LangChain, LangGraph, Auto-GPT).
- 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, RAG, AI evals, and coding assistants.
- Managing and mentoring software engineering or AI/ML teams, with experience as a hands-on practitioner delivering production-grade solutions.
- Demonstrated experience leading effective use of approved AI-assisted software development tools, with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption.
- 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).
- Hands-on practical experience delivering system design, application development, testing, and operational stability.
Preferred Qualifications, Capabilities, and Skills:
- 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.
- In-depth knowledge of the financial services industry and their IT systems.
- Practical cloud native experience.
Skills Required
- Formal training or certification in software engineering concepts
- Familiarity with agentic workflows and frameworks such as LangChain, LangGraph, or Auto-GPT
- Advanced proficiency in Java or Python for software system development
- Strong understanding of software engineering best practices, system design, application development, testing, and operational stability
- Experience integrating AI/ML techniques, including LLMs, Generative AI, NLP, RAG, AI evaluations, and coding assistants
- Experience managing and mentoring software engineering or AI/ML teams while delivering production-grade solutions hands-on
- Experience leading approved AI-assisted software development tools and validating AI outputs for correctness, performance, and security
- Understanding of responsible AI use, data sensitivity, secure input and output handling, resiliency, and security expectations
- Understanding of data structures, algorithms, and practical machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn
- Proficiency in automation, continuous delivery, CI/CD, and cloud-native development
- Hands-on experience with system design, application development, testing, and operational stability
- Experience working at code level with advanced AI/ML business applications such as LLMs, Generative AI, or NLP
- AWS Solutions Architect Associate or Professional certification
- In-depth knowledge of the financial services industry and its IT systems
- Practical cloud-native experience
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 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.
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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.
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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
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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