Lead AI/ML Engineer for Enterprise LLM Solutions

JPMorgan Chase & Co.; Dublin; On-site; EUR 120,000 - 170,000; Full time

Job summary

JPMorganChase in Dublin seeks an Applied AI / ML Lead Software Engineer to design, build, and operate agentic AI workflows that power workforce technology solutions for 300,000+ employees. You will collaborate across teams to ensure reliable, secure AI integrations into enterprise platforms and contribute to platform standards.

You will lead design and productionizing of LLM-powered applications, implement governance and observability, and drive performance improvements through experiments and

Qualifications

• Strong Python engineering skills for production-grade code, testing, and performance tuning.
• Deliver LLM-enabled applications and apply agentic AI patterns, including tool use, orchestration, and guardrails.
• Build and operate MCP integrations reliably.
• Solid software engineering fundamentals: version control, code review, CI/CD, secure development.
• Experience with at least one ML/AI ecosystem (PyTorch, TensorFlow, scikit-learn, MLflow).
• Deploy and operate workloads on AWS including compute, storage, IAM, and networking fundamentals.

Responsibilities

• Design and deliver LLM-powered applications that support workforce technology solutions and operational use cases.
• Build and maintain agentic AI workflows, including tool use, orchestration, structured outputs, and safety controls.
• Create and operationalize MCP servers/tools for secure agent interactions with internal services and data sources.
• Develop evaluation strategies for LLM systems and drive performance improvements through experimentation.
• Productionize models and AI services, including packaging, deployment, scaling, and observability.
• Implement monitoring for model and system health, and define operational SLOs/SLAs.
• Build CI/CD pipelines and automated testing for data, ML, and LLM systems.
• Ensure solutions meet governance requirements, including documentation, controls, and compliance.
• Build and maintain data pipelines and feature/retrieval layers to support AI use cases.
• Partner with product owners, platform engineering, SRE, security, and data stakeholders to integrate AI capabilities.
• Contribute to platform standards, reusable components, and best practices for AI engineering.

Skills

Python engineering

LLM-enabled applications

MCP integrations

Software engineering fundamentals

ML ecosystem experience

AWS deployment

Tools

PyTorch

TensorFlow

scikit-learn

MLflow

Terraform

GitHub Actions

Jenkins

Apache Spark

Databricks

Claude Code

GitHub Copilot

Job description

JPMorganChase in Dublin seeks an Applied AI / ML Lead Software Engineer to design, build, and operate agentic AI workflows that power workforce technology solutions for 300,000+ employees. You will collaborate across teams to ensure reliable, secure AI integrations into enterprise platforms and contribute to platform standards.

You will lead design and productionizing of LLM-powered applications, implement governance and observability, and drive performance improvements through experiments and