Manager Software Engineer

Posted Yesterday
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2 Locations
Hybrid
Senior level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Leads software engineering for AI/ML and generative AI platforms within an agile team. Develops secure, scalable, high-performance code using Python and AWS services, supports MLOps and data governance, and builds GenAI use cases involving LLM fine-tuning and multi-agent orchestration. Drives responsible adoption of AI-assisted development tools, establishes validation and security standards, improves automation, troubleshoots systems, and communicates technical solutions across the organization.
Summary Generated by Built In

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking - AIML Solutions technology, 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

  • Executes standard software solutions, design, development, and technical troubleshooting
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.

  • 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.

  • Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
  • Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
  • Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
  • Hands on code development to enable our AI/ML platform, ensuring robustness, scalability, and high performance.
  • Adopt the best practices in software engineering, machine learning operations (MLOps), and data governance.
  • Maintain consistent code check-ins every sprint to ensure continuous integration and development.
  • Executes using Platform engineering to enable the Gen AI platform and develop the Gen AI Use cases ,LLM fine tuning and multi agent orchestration.
  • Communicate technical concepts and solutions effectively across all levels of the organization.


Required Qualifications, Capabilities, and Skills

  • Formal training or certification on software engineering concepts and 5 + years of applied experience
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) 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 within delivery practices

  • Extensive practical experience with Python and AWS cloud services, including EKS, EMR, ECS,
  • Hands-on experience in  AIML lifecycle development.
  • Advanced knowledge in Generative AI, Agent development and the AI platform engineering

Skills Required

  • Formal training or certification in software engineering concepts and at least 5 years of applied experience
  • Experience leading the effective use of approved AI-assisted software development tools for coding, code review, test acceleration, or troubleshooting
  • Ability to establish team expectations for validating AI-generated outputs for correctness, performance, and security
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure input and output handling, resiliency, and security expectations
  • Experience coaching engineers on safe and compliant adoption of AI-assisted development practices
  • Extensive practical experience with Python and AWS cloud services, including EKS, EMR, and ECS
  • Hands-on experience in the AI/ML lifecycle
  • Advanced knowledge of generative AI, agent development, and AI platform engineering

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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