Join a team at the forefront of Applied AI innovation, helping build and deploy AI-enabled capabilities that improve customer onboarding and software engineering practices. As an Associate, in the Applied AI team, you will contribute to enterprise-grade solutions that support KYC and onboarding operations and enhance the software development lifecycle. You will collaborate with software engineers, data/ML partners, and business stakeholders to deliver practical improvements under guidance, with strong opportunities for learning and growth at JPMorganChase.
Job Responsibilities
- Contribute to the development and deployment of AI-enabled services supporting KYC, onboarding operations, and software engineering workflows.
- Implement and maintain scalable, reusable components for AI/ML solutions, following established architecture patterns and engineering standards.
- Build and integrate RESTful APIs (e.g., FastAPI) and front-end components where needed (React) to deliver usable, production-ready capabilities.
- Develop and support ETL processes and data pipelines that enable model development, evaluation, and operational reporting.
- Assist with database design and integration, including graph database modeling for relationship-driven use cases.
- Partner with AI and Data Science specialists to help operationalize models and embed services into strategic systems and processes.
- Participate in technical discovery of new AI infrastructure tools and approaches, summarizing findings and tradeoffs for the team.
- Document implementation details, design decisions, and operational runbooks to support maintainability and auditability.
- Help ensure production solutions meet expectations for reliability, scalability, security, monitoring, and compliance, escalating risks and issues as appropriate.
**Required Qualifications, Skills and Capabilities **
- Bachelor’s or Master’s Degree in Computer Science, Software Engineering, or related field.
- Proficiency in Python and familiarity with React for building user-facing components.
- Experience designing, developing, and integrating RESTful APIs (e.g., FastAPI).
- Hands-on experience with Infrastructure-as-Code (Terraform) and CI/CD pipelines.
- Experience building or supporting ETL processes and data pipeline engineering.
- Working knowledge of database design and integration, including exposure to graph database modeling concepts.
- Familiarity with infrastructure monitoring and basic compliance considerations in production environments.
- Strong verbal and written communication skills, with the ability to collaborate effectively with technical and business partners.
- Ability to work in multi-disciplinary teams with diverse backgrounds and priorities.
Preferred Qualifications
- Exposure to AI/ML concepts and fundamental techniques, with interest in applied use cases.
- Experience applying AI, analytics, or automation in Finance or enterprise Technology environments.
- Familiarity with Databricks, MLflow, Grafana, and/or PySpark.
- Experience supporting delivery workstreams with stakeholder coordination, structured execution, and clear status reporting.
Why Join Us?
Your work will contribute to meaningful improvements in financial services operations by helping teams deliver faster, more reliable onboarding experiences and stronger engineering practices. At JPMorganChase, you will collaborate with talented professionals across engineering, data, and business functions while building practical skills in applied AI and enterprise delivery.
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