Applied AI ML Lead Engineer - Customer Onboarding and Documentation

J.P. Morgan; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

A global financial institution in London is seeking an Applied Artificial Intelligence Engineering Lead to drive AI initiatives in KYC and onboarding operations. This role requires programming skills in Python and React, along with expertise in infrastructure solutions like Terraform. You will collaborate with multidisciplinary teams to design scalable AI systems. The ideal candidate has a Master’s or Bachelor’s degree in a relevant field and strong communication skills. Join us to redefine possibilities in financial services.

Qualifications

• Master's or Bachelor's degree in a relevant field is required.
• Must have programming skills in Python and React.
• Experience with RESTful API development and integration is necessary.
• Proficiency in Infrastructure-as-Code solutions using Terraform is essential.
• Expertise in ETL and Data Pipeline Engineering is needed.

Responsibilities

• Drive the implementation of technology and architecture for AI solutions.
• Build robust AI infrastructure using the latest technologies.
• Collaborate with specialists to design and deploy AI services.
• Document architecture and technology decisions.
• Ensure scalability and reliability of AI/ML solutions in production.

Skills

Programming skills in Python

Programming skills in React

RESTful API design

Infrastructure-as-Code solutions using Terraform

ETL and Data Pipeline Engineering

Database design and implementation

Infrastructure monitoring and compliance

Effective verbal and written communication

Ability to work on multi-disciplinary teams

Education

Master’s or Bachelor’s Degree in Computer Science, Software Engineering, or related field

Tools

Databricks

MLFlow

Grafana

PySpark

Job description

Overview

Join us at the forefront of Applied AI innovation, where you’ll help shape the next generation of autonomous agents for the world’s largest bank. As a builder, pioneer, and mentor, you’ll bridge the gap between cutting-edge theory and enterprise-grade systems. Collaborate with talented engineers, researchers, and business leaders to deliver impactful solutions. At JPMorgan Chase, you’re empowered to grow your career while making a real difference. Be part of a team that values creativity, collaboration, and continuous learning.

As an Applied Artificial Intelligence Engineering Lead – Vice President in Operations, you will work within an applied AI team dedicated to transforming customer onboarding and software engineering practices. You will partner with software engineers, business stakeholders, and machine learning experts to identify and implement efficiency improvements. Your work will directly impact KYC and onboarding operations, as well as the software development lifecycle. You will also help foster a culture of innovation and excellence.

Job Responsibilities

• Formulate, communicate, and drive implementation of technology and architecture for deploying AI solutions in KYC and onboarding operations and software engineering
• Build robust, scalable, and reusable AI infrastructure using the latest technologies
• Collaborate with AI and Data Science specialists to design and deploy services integrated with strategic systems and processes
• Learn about and understand supported business areas to drive practical solutions and integrations with banking operations systems
• Conduct comprehensive exploration and analysis of new AI infrastructure technologies to inform long-term strategic technical direction
• Document and explain rationale and design considerations behind architecture and technology decisions
• Ensure scalability, reliability, and security of AI/ML solutions in production environments, focusing on long-term sustainability

Required Qualifications, Capabilities, and Skills

• Master’s or Bachelor’s Degree in Computer Science, Software Engineering, or related field
• Programming skills in Python and React
• Experience with RESTful API design, development, and integration (e.g., FastAPI)
• Proficiency in Infrastructure-as-Code solutions using Terraform and CI/CD pipelines
• ETL and Data Pipeline Engineering expertise
• Database design, implementation, and integration, including graph database modeling
• Infrastructure monitoring and compliance knowledge
• Effective verbal and written communication skills with technical and business audiences
• Ability to work on multi-disciplinary teams with diverse backgrounds

Preferred Qualifications, Capabilities, and Skills

• AI or Data Science experience with understanding of fundamental Artificial Intelligence and Machine Learning techniques
• Research or work experience applying Artificial Intelligence in Finance or Technology
• Experience with Databricks, MLFlow, Grafana, PySpark
• Strong presentation, client partnership, stakeholder, and project management skills

Why Join Us?

Your contributions will help redefine what’s possible in financial services. You’ll be part of a team that values creativity, collaboration, and continuous learning, empowering you to make a real impact and grow your career.

#CIBAppliedAI