AI Lead Software Engineer

JPMorgan Chase
Jersey City, NJ
On-site

Who this role is best for

Best suited to experienced software engineers with AI expertise working in financial technology.

Best fit for

  • Experienced software engineers with AI expertise and a track record in financial systems
    — “designing and delivering secure, scalable, high-performing technology solutions”
  • Candidates who have led AI-assisted development and set validation standards for AI outputs
    — “demonstrated experience leading effective use of approved AI-assisted software development tools”
  • Individuals with strong cloud and microservices architecture experience
    — “experience building and operating solutions on public cloud platforms (for example, Amazon Web Services)”

Things to consider

  • The role requires leading AI-assisted engineering practices and enforcing validation standards
    — “drives team adoption of enterprise-authorized AI-assisted engineering practices”
  • Commitment to maintaining high code quality through reviews and testing is essential
    — “setting a high bar for code quality through reviews, testing, and engineering excellence”

How to stand out

  • Emphasize your work with large-scale datasets and production-grade distributed systems
    — “build and maintain secure, production-grade services”
  • Showcase leadership in mentoring engineers and improving team delivery outcomes
    — “mentor engineers through technical guidance, pairing, and actionable feedback”
  • Demonstrate your ability to design and implement CI/CD pipelines and IaC practices
    — “experience implementing continuous integration and continuous delivery pipelines and Infrastructure as Code practices”
  • Demonstrate your hands-on experience with Java or Scala in production environments
    — “develop data-intensive services and workflows using Java or Scala”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • designing and delivering high-quality software solutions
  • building strategic AI platforms
Typical background
software engineeringAI development

Skills & requirements

Required

Software EngineeringDistributed SystemsCloud PlatformsContinuous IntegrationAI Development

Preferred

Agile MethodologiesEnterprise-authorized Ai-assisted Development

About the role

Original posting from JPMorgan Chase

We have an exciting opportunity to advance your career and drive meaningful impact by pushing the limits of modern engineering.

As an AI Lead Software Engineer at JPMorganChase within Corporate Technology, you will be a key technical leader on an agile team designing and delivering secure, scalable, high-performing technology solutions. You will partner across product, business, and engineering stakeholders to build strategic AI platforms that enable the firm’s objectives.

Job responsibilities

Lead the design, development, and delivery of high-quality software solutions that solve complex business problems with modern engineering practicesDrive architectural decisions and technical direction to improve scalability, resiliency, and availability for distributed systemsBuild and maintain secure, production-grade services, setting a high bar for code quality through reviews, testing, and engineering excellenceMentor engineers through technical guidance, pairing, and actionable feedback to raise team capability and delivery outcomesImplement continuous integration and continuous delivery automation and reliability patterns to support safe, frequent releasesDevelop data-intensive services and workflows using Java or Scala, working effectively with large-scale datasets and modern data platformsDesign and build AI-enabled applications, including retrieval-augmented generation patterns and agentic workflows, with appropriate evaluation and guardrailsDrives 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. 

Required qualifications, capabilities and skills

Formal training or certification on software engineering concepts and 5+ years applied experienceDemonstrated hands-on experience designing and delivering scalable, secure, resilient distributed systems in a production environmentProficiency in Java and Spring Boot, with working knowledge of SQL and modern user interface frameworks (for example, React)Strong understanding of modern architecture patterns, including microservices, event-driven design, and application programming interface-first approachesExperience building and operating solutions on public cloud platforms (for example, Amazon Web Services), including containerization and orchestration (Docker and Kubernetes)Experience implementing continuous integration and continuous delivery pipelines and Infrastructure as Code practices to improve release safety and speedPractical experience with application programming interface design and integration patterns (for example, REST and GraphQL), including security and performance considerationsDemonstrated 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 

Preferred qualifications, capabilities and skills

Advanced expertise in object-oriented design, system design, and performance optimization for large-scale servicesExperience with modern data and search technologies (for example, Elasticsearch) and databases (for example, Oracle or MongoDB)Experience building generative AI solutions, including retrieval-augmented generation architecture, orchestration frameworks (for example, LangChain or LlamaIndex), and evaluation practicesExperience creating reusable agent skills, libraries, or patterns that accelerate delivery across engineering teamsExperience working across hybrid technology ecosystems using cloud services, Databricks, and Kubernetes-based platforms

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 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.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Source: JPMorgan Chase careers

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