Applied AI ML Associate Senior - Python

We have an exciting and reward opportunity for you to take your career to next level

As an Applied AI ML Associate with JP Morgan Chase within our AI/ML & Data Platform team you will work to develop and deploy generative AI and applied AI solutions. This role requires expertise in full-stack development with Python and React, combined with hands-on experience implementing AI agents and frameworks. The position involves building scalable AI applications, integrating agentic systems, and maintaining cloud-based infrastructure to support enterprise-level AI initiatives.

Job Responsibilities

• Design, develop, and maintain AI-powe'red applications using Python backend services and React frontend interfaces.
• Implement generative AI solutions and applied AI models for business use cases across the organization.
• Build and deploy agentic frameworks including LangGraph, Google ADK, and AutoGen for autonomous AI systems.
• Develop real-time communication systems using WebSockets and A2A protocols for seamless data exchange.
• Deploy and manage containerized applications using Docker and orchestrate services through AWS ECS and Lambda functions.
• Implement infrastructure as code using Terraform for scalable cloud deployments.
• Collaborate with cross-functional teams to integrate AI capabilities into existing business processes.
• Optimize application performance and ensure security compliance across all AI implementations.
• Maintain code quality through testing, documentation, and peer review processes.

Required Qualifications, Capabilities, and Skills

• Formal training or certification on Software engineering concepts and 3+ years applied experience
• Expert-level proficiency in Python programming and ecosystem
• Advanced knowledge of React and TypeScript for frontend development
• Hands-on experience with generative AI and applied AI implementations
• Working knowledge of agentic frameworks including LangGraph, Google ADK, and AutoGen
• Experience with A2A protocol implementation and WebSocket communication
• Proficiency in AWS services including ECS and Lambda coupled with proficiency in additional programming languages such as Java / Golang
• Strong understanding of containerization using Docker
• Experience with infrastructure as code using Terraform
• Knowledge of software engineering best practices and design patterns
• Experience with version control systems and CI/CD pipelines

Preferred Qualifications, Capabilities, and Skills

• Experience with additional AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face
• Knowledge of vector databases and embedding technologies ; financial services industry and regulatory requirements ; security best practices for AI applications
• Experience with additional AWS services including S3, RDS, and CloudFormation along with monitoring and observability tools
• Bachelors degree in Computer Science, Engineering, or related technical field.
• Familiarity with Kubernetes for container orchestration; experience with microservices architecture and distributed systems ; GraphQL and REST API design