Applied AI ML Lead Engineer

Applied Artificial Intelligence Engineering Lead – Vice President in OperationsJ.P. Morgan Chase is a global leader in financial services. We are seeking a senior AI engineer to lead the design and deployment of AI solutions in KYC and onboarding operations. You will partner with software engineers, business stakeholders, and machine learning experts to identify and implement efficiency improvements that directly impact banking operations.Job DescriptionJoin us at the forefront of Applied AI innovation, where you will 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, collaborating with talented engineers, researchers, and business leaders to deliver impactful solutions.ResponsibilitiesFormulate, communicate, and drive the 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 QualificationsMaster’s or Bachelor’s Degree in Computer Science, Software Engineering, or a 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 QualificationsAI or Data Science experience with an 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, and PySpark.Strong presentation and client‑facing 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.Equal Opportunity EmployerWe 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 laws. 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. #J-18808-Ljbffr