Software Engineer II - Data Engineer/Applied AI (LLMs)

JPMorgan Chase & Co.
Plano, TX, United States
16 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

Clean Code Principles Java (Programming Language) Artificial Intelligence Airflow Amazon Web Services Automation of Tests Unit Testing Configuration Management Code Generation Software Quality Continuous Integration Information Engineering
+19 more
Data Governance Operational Databases Software Tools Secure Coding Software Engineering TypeScript ReactJS Large Language Models Snowflake Apache Spark Kotlin AngularJS Apache Kafka Free and Open-Source Software Graphql Data Management Front End Software Development Code Restructuring Programming Languages

Job description

As a Data Engineering & Applied AI Software Engineer III at JPMorganChase within the Asset & Wealth Management, 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., * Executes standard software solution, design, development, and technical troubleshooting Writes secure and high-quality code using the syntax of at least one programming language with limited guidance

  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
  • Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
  • Hands on design and development of agentic production data platform with full stack application ownership.
  • AI first mindset in developing code using Claude Code, building agents to make application/platform autonomous.
  • Develop AI skills, agents, MCP server in support of product capabilities to deliver business value
  • 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
  • Applies technical troubleshooting to breakdown solutions and solve technical problems of basic complexity
  • Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
  • Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems

Requirements

  • Formal training or certification on software engineering concepts and 2+ years applied experience
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
  • Frontend: React or Angular with TypeScript.
  • Backend: Python, Java, or Kotlin with REST or GraphQL.
  • Data Engineering/Platform: Spark, Kafka, Airflow, Snowflake, and AWS.
  • Platform engineering: containers, CI/CD, observability, and controlled release practices.
  • Applied AI with LLMs: Claude Code, Agent, Skills, RAG, embeddings, prompt or configuration management, evaluation and guardrails, and agent tool or function calling

Preferred qualifications, capabilities, and skills:

  • Preferred financial services or Wealth Management experience, data governance or data management domain expertise, and experience evaluating and enterprise-hardening open-source software
  • Bachelor’s degree required. Advanced degree is a plus

Benefits & conditions

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.

About the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on jpmc.fa.oraclecloud.com

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