JPMorgan Chase's Corporate Sector AIML Data Platforms - Fusion Team is looking to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. The role aims to drive significant business impact by applying deep technical expertise to solve complex challenges across multiple technologies and applications, with a focus on developing innovative AI/ML solutions and GenAI services.
Requirements
- Proficient in coding in one or more languages including Python (fastAPI), Microservices, API, LLM, and AWS (EC2, ECS, EKS, Lambda, SQS, SNS, RDS Aurora MySQL & Postgres, DynamoDB, EMR, and Kinesis)
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Background in machine learning, deep learning, and neural networks
Responsibilities
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Develop innovative AI/ML solutions and agentic systems for the LLM Suite platform utilizing public cloud architecture and modern standards, specifically with Azure, AWS, and AI Agentic frameworks
- Develop and implement state-of-the-art GenAI services leveraging Azure OpenAI models and AWS Bedrock service.
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Other
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Hands-on practical experience in system design, application development, testing, and operational stability
- Overall knowledge of the Software Development Life Cycle
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
- Adds to team culture of diversity, inclusion, and respect
