Lead AI/ML Engineer - Enterprise Platform Solutions

JPMorganChase; Dublin; On-site; EUR 110,000 - 170,000; Full time

Job summary

JPMorganChase in Dublin invites you to join the Employee Platforms Data Team as an Applied AI / ML Lead Software Engineer. You will design, build, and operate agentic AI and LLM-powered workflows that support enterprise platforms and improve productivity.

Work with cross-functional teams to ensure secure, reliable solutions and contribute to platform standards while advancing AI capabilities across the firm.

Qualifications

• Demonstrate 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.
• Apply solid software engineering fundamentals, including version control, code review, CI/CD, and secure development.
• Utilize ML/AI ecosystems such as PyTorch, TensorFlow, scikit-learn, or MLflow.
• Deploy and operate workloads on AWS, including compute, storage, IAM, and networking fundamentals.

Responsibilities

• Design and deliver LLM-powered applications that support employee platforms and operational use cases.
• Build and maintain agentic AI workflows, including tool use, planning, 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/agentic AI patterns

MCP integrations

CI/CD fundamentals

ML frameworks

AWS workloads

Tools

PyTorch

TensorFlow

scikit-learn

MLflow

PostgreSQL

Terraform

GitHub Actions

Jenkins

Apache Spark

Databricks

Claude Code

GitHub Copilot

Job description

JPMorganChase in Dublin invites you to join the Employee Platforms Data Team as an Applied AI / ML Lead Software Engineer. You will design, build, and operate agentic AI and LLM-powered workflows that support enterprise platforms and improve productivity.

Work with cross-functional teams to ensure secure, reliable solutions and contribute to platform standards while advancing AI capabilities across the firm.