AI Engineer - Software Engineer III

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As an Software Engineer III at JPMorganChase within Enterprise Technology, you will help design and deliver agentic AI platforms and large language model-enabled services for enterprise use cases.

You will contribute to architecture decisions, build cloud-native services on AWS, and improve system quality through evaluation and observability.

You will help raise engineering standards through strong code reviews, documentation, and collaboration across teams.

Join a team building scalable, production-grade AI capabilities that help teams across the firm deliver better outcomes through reliable automation and decision support.

You will work end-to-end, from design to implementation and operational readiness, partnering closely with engineering and product stakeholders.

Job responsibilities



* Design and implement components of scalable, reliable agentic AI platforms for enterprise workflows


* Build production-grade AI systems including agents, skills, memory patterns, guardrails, and tool-use orchestration


* Implement retrieval and context-engineering patterns including embeddings, semantic search, grounding, summarization, and prompt/version management


* Engineer cloud-native services on AWS using containers, serverless compute, and event-driven messaging patterns


* Optimize latency, throughput, scalability, caching, context efficiency, and cost across large language model workloads


* Develop secure, reusable APIs and integrations that connect AI capabilities to enterprise platforms and workflows


* Implement evaluation, experimentation, regression testing, and observability signals to improve quality and agent behavior over time


* Partner with product, platform, and engineering teams to translate requirements into resilient, measurable deliverables


* Contribute to technical standards and code quality through design reviews, documentation, and peer code reviews


* Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.


* 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 3+ years applied experience


* Hands-on experience building and operating production large language model applications, including agentic patterns and tool integration...