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Applied AI ML Lead Engineer - Customer Onboarding and Documentation
London, United Kingdom
·
On-site
·
Full-time
·
2w ago
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Mental Health
•Learning Budget
•Parental Leave
•Healthcare
•401k
•Equity
•Mental Health
•Learning
•Parental Leave
Required Skills
Python
React
RESTful API Design
Terraform
CI/CD
ETL
Data Pipeline Engineering
Database Design
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, Py Spark
- 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
ABOUT US
J.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.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
ABOUT THE TEAM:
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.
300,000+
Employees
New York City
Headquarters
Reviews
4.2
10 reviews
Work Life Balance
4.2
Compensation
4.3
Culture
4.5
Career
4.4
Management
4.1
75%
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Pros
Good pay and benefits
Work-life balance
Career advancement opportunities
Cons
Heavy workload at times
Career advancement takes time
Pay could be better in some roles
Salary Ranges
47 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
21 reports
$126,500
total / year
Base
$110,000
Stock
-
Bonus
-
$95,450
$155,250
Interview Experience
4 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
HireVue Video Interview
3
Technical/Behavioral Assessment
4
Final Interview Round
5
Offer Decision
Common Questions
Behavioral/STAR
Technical Knowledge
Past Experience
Culture Fit
Case Study
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