Lead Software Engineer - AI Developer

JPMorgan Chase

Plano (TX)

On-site

USD 140,000 - 190,000

Full time

10 days ago
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Job summary

JPMorgan Chase in Plano, TX is seeking a Lead Software Engineer - AI Developer to join the CX Loyalty Travel team. You will contribute to an agile, high-impact engineering environment, delivering secure, scalable AI-enabled software and shaping design decisions.

You will mentor engineers, drive integration of AI tooling, and partner across product and security teams to raise code quality and delivery speed.

Qualifications

  • Formal training or certification on software engineering concepts and 10+ years applied experience
  • Advanced in programming languages Java, Python or Node.js
  • Strong proficiency with RAG architectures — chunking strategies, embedding models, vector stores (Pinecone, OpenSearch, pgvector, FAISS)
  • Experience with AI orchestration frameworks: LangChain, LlamaIndex, Semantic Kernel, or CrewAI
  • Hands‑on experience with AWS Bedrock, Anthropic Claude models, and model invocation APIs
  • Proven prompt engineering skills — system prompts, few-shot, chain-of-thought, tool use, structured outputs
  • Experience building conversational AI: chatbots (text) and voicebots (speech-to-text, text-to-speech integration)
  • Proficiency with AWS services (Lambda, Step Functions, API Gateway, S3, DynamoDB, SQS)
  • Experience with CI/CD pipelines, containerization (Docker, ECS/EKS), and infrastructure-as-code
  • Strong understanding of API design (REST, GraphQL), microservices architecture, and event-driven systems
  • Familiarity with evaluation frameworks for LLM outputs. Experience with guardrails, content filtering, and responsible AI practices
  • 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

Responsibilities

  • Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Drives decisions that influence the product design, application functionality, and technical operations and processes
  • Serves as a function-wide subject matter expert in one or more areas of focus
  • Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
  • Influences peers and project decision-makers to consider the use and application of leading-edge technologies
  • Adds to the team culture of opportunity, inclusion, and respect
  • Ability to tackle design and functionality problems independently with little to no oversight
  • 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.

Skills

Java
Python
Node.js
RAG architectures
AI orchestration
Prompt engineering
Conversational AI
AWS services
CI/CD
API design
Responsible AI
AI-assisted tooling

Education

Formal software engineering training or certification

Tools

Docker
Kubernetes
AWS Lambda
API Gateway
S3

Job description

Lead Software Engineer - AI Developer

Plano, TX, United States

Job Information
  • Job Identification 210746819

  • Job Category Software Engineering

  • Business Unit Consumer & Community Banking

  • Posting Date 07/01/2026, 03:39 PM

  • Locations 8181 Communications Pkwy Ste C, Plano, TX, 75024, US

  • Job Schedule Full time

Job Description

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within the Community & Consumer Bank - CX Loyalty Travel 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities
  • Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors

  • Develops secure and high-quality production code, and reviews and debugs code written by others

  • Drives decisions that influence the product design, application functionality, and technical operations and processes

  • Serves as a function-wide subject matter expert in one or more areas of focus

  • Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle

  • Influences peers and project decision-makers to consider the use and application of leading-edge technologies

  • Adds to the team culture of opportunity, inclusion, and respect

  • Ability to tackle design and functionality problems independently with little to no oversight

  • 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.

Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 10+ years applied experience

  • Advanced in programming languages Java, Python or Node.js

  • Strong proficiency with RAG architectures — chunking strategies, embedding models, vector stores (Pinecone, OpenSearch, pgvector, FAISS)

  • Experience with AI orchestration frameworks: LangChain, LlamaIndex, Semantic Kernel, or CrewAI

  • Hands‑on experience with AWS Bedrock, Anthropic Claude models, and model invocation APIs

  • Proven prompt engineering skills — system prompts, few-shot, chain-of-thought, tool use, structured outputs

  • Experience building conversational AI: chatbots (text) and voicebots (speech-to-text, text-to-speech integration)

  • Proficiency with AWS services (Lambda, Step Functions, API Gateway, S3, DynamoDB, SQS)

  • Experience with CI/CD pipelines, containerization (Docker, ECS/EKS), and infrastructure-as-code

  • Strong understanding of API design (REST, GraphQL), microservices architecture, and event-driven systems

  • Familiarity with evaluation frameworks for LLM outputs. Experience with guardrails, content filtering, and responsible AI practices

  • 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

Preferred qualifications, capabilities, and skills
  • Financial Services industry experience
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 (https://careers.jpmorgan.com/us/en/how-we-hire/faqs) for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

About the Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most‑used digital solutions – all while ranking first in customer satisfaction.

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