Applied AI ML Lead Engineer Customer Onboarding and Documentation

Join us at the forefront of Applied AI innovation where youll help shape the next generation of autonomous agents for the worlds largest bank. As a builder pioneer and mentor youll 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 youre 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:

• Masters or Bachelors 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 whats possible in financial services. Youll be part of a team that values creativity collaboration and continuous learning empowering you to make a real impact and grow your career.