Senior ML Engineer, Agent Platform — Production AI

JPMorgan Chase & Co.; Austin (TX); On-site; USD 61,000 - 101,000; Full time

Job summary

JPMorgan Chase & Co. is seeking an experienced software engineer in Austin, TX to own the NEO agent runtime architecture and deliver secure, high-quality production code across the full software lifecycle.

The role emphasizes AI-assisted engineering practices, cloud-native, and production Kubernetes experience. You will collaborate across teams to design and implement scalable, auditable runtimes, mentor engineers, and contribute to diverse disciplines within Payments Technology.

Qualifications

• We are seeking someone with formal training or certification in software engineering and at least 5 years of applied experience.
• We need hands‑on experience delivering system design, application development, testing, and operational stability for production platforms, runtimes, or distributed systems.
• We require advanced proficiency in one or more programming languages, with strong Python skills and a systems language such as Go or Rust for performance‑sensitive runtime work.
• We value demonstrated experience leading the effective use of approved AI‑assisted software development tools, with the ability to define expectations for validating AI-generated output for correctness, performance, and security.
• We expect a strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security standards.
• We are looking for experience building or operating LLM and agent systems in production, including tracing, evaluations, and guardrails.
• We need proficiency across all aspects of the Software Development Life Cycle.
• We require advanced understanding of agile practices, including CI/CD, application resiliency, and security.
• We seek demonstrated proficiency with software applications and technical processes in a technical discipline such as cloud, artificial intelligence, or machine learning.
• We value in-depth knowledge of the financial services industry and its IT systems.
• We expect practical cloud-native experience, with production Kubernetes experience required.

Responsibilities

• We own the end-to-end architecture of the NEO agent runtime, including secure execution and isolation, agent-to-agent communication, MCP tooling, memory, and evaluation infrastructure.
• We design, develop, and troubleshoot software creatively, going beyond routine approaches to solve complex technical problems.
• We produce secure, high-quality production code, review and debug code from others, and establish code and design standards used across NEO teams.
• We drive adoption of enterprise-approved AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes while maintaining consistent validation standards and promoting reusable patterns.
• We apply and shape the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to increase the value delivered by automation.
• We identify and automate recurring remediation opportunities to improve platform stability and the reliability of the agents running on it.
• We define a permission-aware, auditable execution model for the runtime, including fine-grained authorization and runtime policy so agents can operate safely in a regulated environment.
• We lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and fit within existing systems and information architecture.
• We lead communities of practice across Software Engineering to promote awareness and adoption of emerging technologies, and we mentor Lead and senior engineers.
• We contribute to our culture of diversity, opportunity, inclusion, and respect.

Skills

Python

Go

Rust

Kubernetes

CI/CD

Cloud

Security

AI tooling

LLM

Machine Learning

Agile

SDLC

Education

Software engineering certification

Tools

Docker

Terraform

MCP

RAG

Job description

JPMorgan Chase & Co. is seeking an experienced software engineer in Austin, TX to own the NEO agent runtime architecture and deliver secure, high-quality production code across the full software lifecycle.

The role emphasizes AI-assisted engineering practices, cloud-native, and production Kubernetes experience. You will collaborate across teams to design and implement scalable, auditable runtimes, mentor engineers, and contribute to diverse disciplines within Payments Technology.