Join us in Dublin as part of JPMorganChase’s Employee Platforms technology organization, where you’ll help shape the future of work for over 300,000 employees. You’ll have the opportunity to build impactful AI solutions, collaborate with talented teams, and grow your career in a dynamic engineering hub. We value creativity, reliability, and a passion for delivering measurable results. Your expertise will help us integrate advanced AI capabilities into enterprise platforms, improving productivity and employee experience. Discover a place where your skills and ideas can make a real difference.
Job Summary:
As an Applied AI / ML Lead Software Engineer in the Employee Platforms Data Team, you will design, build, and operate agentic AI and LLM-powered workflows that drive operational excellence. You will work closely with end-user services, ensuring solutions are reliable, secure, and aligned with firm standards. Your role will focus on integrating AI safely into enterprise platforms, collaborating across disciplines, and contributing to platform standards. You will help foster a culture of innovation and continuous improvement within the team.
Job 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
Required Qualifications, Capabilities, and Skills:
- 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 at least one ML/AI ecosystem such as PyTorch, TensorFlow, scikit-learn, or MLflow
- Deploy and operate workloads on AWS, including compute, storage, IAM, and networking fundamentals
Preferred Qualifications, Capabilities, and Skills:
- Model and optimize data with PostgreSQL
- Use Infrastructure as Code with Terraform for repeatable environments
- Apply strong CI/CD experience with tools like GitHub Actions or Jenkins
- Work with distributed data processing and lakehouse patterns, such as Apache Spark or Databricks
- Leverage developer productivity tools like Claude Code and GitHub Copilot responsibly
- Collaborate on end-user services, including VDI, application delivery, and enterprise tooling
- Consider operational constraints and user experience in solution design
Why Join Us?
You will be part of a collaborative, innovative team that values secure-by-design and reliable engineering. Your work will directly impact employee productivity and operational efficiency, offering opportunities for growth and meaningful contributions.
About UsJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
Skills Required
- 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 at least one ML/AI ecosystem such as PyTorch, TensorFlow, scikit-learn, or MLflow
- Deploy and operate workloads on AWS, including compute, storage, IAM, and networking fundamentals
- Model and optimize data with PostgreSQL
- Use Infrastructure as Code with Terraform
- Strong CI/CD experience with tools like GitHub Actions or Jenkins
- Experience with distributed data processing and lakehouse patterns such as Apache Spark or Databricks
- Familiarity with developer productivity tools like Claude Code and GitHub Copilot
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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