Lead Software Engineer - AI Developer

JPMorganChase; Plano (TX); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health care coverage

Retirement savings plan

Tuition reimbursement

Mental health support

Job summary

JPMorgan Chase is seeking a Senior Lead Software Engineer within the Community & Consumer Bank – CX Loyalty Travel team in Plano, Texas. This pivotal role involves enhancing and delivering top‑notch technology products while providing technical guidance to teams. Candidates should have extensive experience in programming languages such as Java, Python, or Node.js, plus deep expertise in AI orchestration frameworks.

In addition to a competitive salary, comprehensive benefits include health coverage, wellness programs, and financial support. Join a company that values diversity and inclusion and rewards individual contributions.

Qualifications

• 10+ years of applied software engineering experience.
• Strong proficiency with RAG architectures and AI conversational tools.
• Proven prompt engineering skills and API design experience.

Responsibilities

• Provide technical guidance and direction to teams.
• Develop and debug high-quality production code.
• Influence product design and technical operations.

Skills

Java

Python

Node.js

RAG architectures

AI orchestration frameworks

AWS services

CI/CD pipelines

API design

microservices architecture

conversational AI

Education

Formal training or certification in software engineering

Job description

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 JPMorgan Chase within the Community & Consumer Bank – CX Loyalty Travel team, you will work 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 firm‑wide 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.

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.

Preferred Qualifications, Capabilities, And Skills

• Financial Services industry experience.

Benefits

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. 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, including 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.

Equal Opportunity Employer / Disability / Veterans

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. 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.