Software Engineer III- AI, LLM & Data Platforms

Posted 6 Hours Ago
Plano, TX, USA
Hybrid
Mid level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Build and operate production platforms for LLM-powered agents and AI features. Responsibilities include developing reusable services, evaluating and testing LLM systems, implementing observability, applying security and governance controls, and improving AI-assisted engineering practices. The role partners with product, engineering, data, security, and compliance teams to deliver scalable solutions, with preferred experience in orchestration frameworks, RAG, vector databases, Docker, Kubernetes, AWS, and Databricks.
Summary Generated by Built In

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer III at JPMorganChase within the Consumer & Community Banking, 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:

  • Deliver end-to-end platform features for agent-based artificial intelligence use cases, from technical design through production deployment, monitoring, and ongoing improvements
  • 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.
  • Build and maintain reusable services and components that enable teams to create, evaluate, and operate LLM-powered agents at scale
  • Implement evaluation and testing approaches for LLM systems, including quality measurement, regression testing, and error analysis to improve reliability over time
  • Develop observability capabilities such as tracing, metrics, logs, and analytics to support healthy operations and fast troubleshooting
  • Apply security, safety, and governance-by-design patterns, including guardrails, access controls, and audit-ready operational practices aligned to security and governance requirements
  • Collaborate with product managers and stakeholders to define success metrics, prioritize work, and deliver measurable business impact
  • Partner across engineering, data, security, and risk and compliance stakeholders to ensure solutions are secure, stable, and scalable
  • Produce clear documentation and reference implementations that accelerate adoption and promote responsible, consistent engineering practices

 

Required qualifications, capabilities and skills:

  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Proficiency in Python with strong software engineering fundamentals, including testing practices, version control, and code review
  • Experience building and operating production services, including incident readiness, performance tuning, and operational stability for data-intensive systems
  • Hands-on experience delivering machine learning and/or LLM-enabled features into production environments, including monitoring and post-deployment iteration
  • 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
  • Practical experience with prompt engineering and retrieval-augmented generation (RAG), including evaluation methods and quality measurement
  • Ability to design maintainable systems and make sound technical decisions through ambiguity, balancing delivery speed, risk, and long-term sustainability
  • Strong communication skills, including the ability to explain technical trade-offs to both technical and non-technical stakeholders
  • Strong collaboration skills and demonstrated ability to partner effectively across teams to deliver outcomes

 

Preferred qualifications, capabilities and skills:

  • Experience with agent orchestration frameworks (for example, LangGraph, LlamaIndex, or comparable orchestration approaches) and LLM evaluation tooling
  • Experience with continuous integration/continuous delivery (CI/CD) practices and production deployments using Docker and Kubernetes
  • Familiarity with vector databases, embedding pipelines, and related approaches used in retrieval-augmented generation solutions
  • Experience with cloud and machine learning platforms such as Amazon Web Services or Databricks (or comparable platforms)
  • Experience contributing to governance, validation approaches, or guardrail frameworks for enterprise-scale artificial intelligence solutions
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 Group depends on innovators like you to serve consumers, small businesses, municipalities and non-profits.  You’ll support the delivery of award winning tools and services that cover everything from personal and small business banking as well as lending, mortgages, credit cards, payments, auto finance and investment advice. This group is also focused on developing and delivering cutting edged mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers.

Skills Required

  • Formal training or certification in software engineering concepts
  • 3+ years of applied software engineering experience
  • Proficiency in Python
  • Strong software engineering fundamentals, including testing, version control, and code review
  • Experience building and operating production services, including incident readiness, performance tuning, and operational stability for data-intensive systems
  • Hands-on experience delivering machine learning or LLM-enabled features into production
  • Experience with approved AI-assisted software development tools
  • Understanding of responsible AI use, data sensitivity, secure input/output handling, resiliency, and security expectations
  • Experience coaching engineers on safe and compliant AI-assisted development
  • Practical experience with prompt engineering and retrieval-augmented generation
  • Experience with LLM evaluation methods and quality measurement
  • Ability to design maintainable systems and make sound technical decisions through ambiguity
  • Strong communication skills with technical and non-technical stakeholders
  • Strong cross-team collaboration skills
  • Experience with agent orchestration frameworks such as LangGraph or LlamaIndex
  • Experience with LLM evaluation tooling
  • Experience with CI/CD, Docker, and Kubernetes
  • Familiarity with vector databases and embedding pipelines
  • Experience with AWS, Databricks, or comparable cloud and machine learning platforms
  • Experience contributing to AI governance, validation, or guardrail frameworks

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 — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
  • Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
  • Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.

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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