Job Description

Join JPMorganChase, a global leader in financial services, as we revolutionize our operations with artificial intelligence and machine learning.



As a Software Engineer III at JPMorgan Chase within the AIML and Data Platforms (AMDP) team, you will be addressing significant challenges in the financial services sector and creating substantial impact. You will have the opportunity to work alongside industry leaders and contribute to pioneering AI/ML capabilities that solidify JPMC's industry leadership. Your crucial role in the LLM Suite within the AMDP team will involve transforming early-stage code into production-ready solutions and developing innovative AI/ML solutions using public cloud architecture. You will also collaborate with cross-functional teams to integrate generative AI into various applications and products.

Job Responsibilities:

Develop innovative AI/ML solutions and agentic systems for the LLM Suite platform using Azure, AWS, and AI Agentic frameworks. Integrate with AWS Cloud Services for compute, storage, databases, and security, as well as the Azure ecosystem. Create solutions or tools to provision and monitor infrastructure for LLM and agentic systems. Utilize operational skills to provide impactful recommendations for product, process, or policy improvements. Collaborate with the Product team to design, build, and deliver capabilities in agile sprints. Work with cross-functional teams, including data scientists, software engineers, and designers. Develop and implement state-of-the-art GenAI services leveraging Azure OpenAI models and AWS Bedrock service.

Required Qualifications, Capabilities, and Skills:

Formal training or certification on software engineering concepts and proficient applied experience Strong hands-on experience with at least one programming language (Python/Java/Rust) Experience in developing microservices using Python with FastAPI. Commercial experience in both backend and frontend engineering Hands-on experience with AWS Cloud-based applications development, including EC2, ECS, EKS, Lambda, SQS, SNS, RDS Aurora MySQL & Postgres, DynamoDB, EMR, and Kinesis. Strong engineering background in machine learning, deep learning, and neural networks. Experience with containerized stack using Kubernetes or ECS for development, deployment, and configuration. Experience with Single Sign-On/OIDC integration and a deep understanding of OAuth, JWT/JWE/JWS. Solid understanding of backend performance optimization and debugging. Knowledge of AWS SageMaker and data analytics tools. Proficiency in frameworks TensorFlow, PyTorch, or similar.

Preferred Qualifications, Capabilities, and Skills:

Familiarity with LangChain, Langgraph, or any Agentic Frameworks is a strong plus. Python engineering experience * React