Senior Lead AI‑Driven Software Engineer

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 150,000 - 230,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Senior Lead Software Engineer to contribute to a data strategy and architecture team. You will design and deliver trusted market‑leading technology products with secure, scalable, and observable solutions.

You will mentor engineers and drive adoption of AI‑assisted development practices across teams. In this role you will work on end‑to‑end design, data processing, and multi‑agent AI workflows, ensuring robust performance, security, and reliability in production

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands‑on experience building and shipping LLM‑based applications and agentic systems with tool use, memory, and multi‑step reasoning in production environments.
• Advanced proficiency in one or more programming languages, particularly Python and/or Java.
• Deep experience with large‑scale data processing, microservices, API design, and event streaming (Kafka).
• Working knowledge of relational and NoSQL databases, vector stores, and data lake architectures.
• Experience with caching technologies (Redis, MemCached), observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal).
• Proficiency in CI/CD, test‑driven development, automation, and all aspects of the Software Development Lifecycle.
• Strong understanding of agile methodologies, application resiliency, and security best practices.
• Practical cloud‑native engineering experience (AWS, Azure, or GCP).
• Demonstrated experience leading effective use of enterprise‑authorized AI‑assisted software development tools within the work environment...
• 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.

Responsibilities

• Develops secure, high‑quality production code for data‑intensive applications and platforms, and reviews and debugs code written by others.
• Leads end‑to‑end design and implementation of complex software features, from requirements through deployment and operational stability.
• Drives technical decisions that influence application design, functionality, performance, and reliability.
• Builds and maintains agentic AI systems, including multi‑agent workflows, tool‑use integrations, and human‑in‑the‑loop controls for regulated environments.
• Implements LLM‑based applications including RAG pipelines, embedding workflows, vector store integrations, and model serving infrastructure.
• Owns observability, evaluation, and safety of production AI systems — including prompt monitoring, output validation, cost tracking, and latency optimization.
• Identifies and executes opportunities to automate remediation of recurring issues and improve operational stability.
• Executes creative software solutions, including design, development, and technical troubleshooting to solve complex and ambiguous problems.
• Mentors and coaches junior and mid‑level engineers, conducting code reviews and sharing engineering best practices.
• Contributes to firmwide frameworks, tools, and SDLC practices as an engaged member of the engineering community.
• Drives adoption and governance of approved AI‑assisted engineering practices across teams to improve code quality and delivery speed, while establishing validation standards.
• Applies knowledge of SDLC tools, including AI‑assisted development and automation capabilities, to improve value realized by automation at scale.

Skills

Python

Java

LLM‑based applications

Data processing

APIs

CI/CD

Security best practices

Agile methodologies

Cloud

Observability

Tools

Kafka

Redis

Dynatrace

Grafana

Airflow

Temporal

Spark/PySpark

Databricks

Snowflake

Job description

JPMorgan Chase & Co. is seeking a Senior Lead Software Engineer to contribute to a data strategy and architecture team. You will design and deliver trusted market‑leading technology products with secure, scalable, and observable solutions.

You will mentor engineers and drive adoption of AI‑assisted development practices across teams. In this role you will work on end‑to‑end design, data processing, and multi‑agent AI workflows, ensuring robust performance, security, and reliability in production