Lead Software Engineer - LLM Suite Engineering - VP
Key Skills for This Role
Full Job Posting
Job Responsibilities
- Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges
- Write secure, high-quality production code and maintain algorithms that integrate with existing systems
- Create architecture and design artifacts for complex applications, ensuring design constraints are met through delivery
- Build AI/ML solutions and agentic systems for the LLM Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks
- Implement GenAI services leveraging Azure OpenAI models and AWS Bedrock
- Identify hidden problems and patterns in data proactively to improve coding standards and system architecture
- Participate in software engineering communities of practice and events focused on emerging technologies
Required Qualifications, Capabilities, and Skills
- Computer science degree or equivalent practical experience
- Hands-on experience with system design, application development, testing, and operational stability
- Proficiency in Python (FastAPI)
- Experience building microservices and APIs
- Experience with elastic compute, NoSQL databases, and messaging queues
- Strong understanding of the Software Development Life Cycle
- Solid grasp of CI/CD, application resiliency, and security
Preferred Qualifications, Capabilities, and Skills
- Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock
- Proficiency working with large language models and building agents with LangGraph
- Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages
- Experience with containerization
- Knowledge of agent-to-agent (A2A) communication concepts
- Familiarity with Model Context Protocol (MCP)
- Experience with agentic orchestrators, personal AI assistants, or AI skills development
About the Team
The LLM Suite Engineering team builds and operates JPMorganChase’s enterprise generative AI platform, enabling teams across the firm to develop, deploy, and scale AI-powered solutions safely and efficiently. The team delivers core platform capabilities such as reusable assistants and workflow automation, secure connections to enterprise knowledge and structured data sources, and model integrations supported by continuous quality benchmarking. Its work is deeply cross-functional, partnering with product, engineering, and control functions to embed security, privacy, access controls, and risk/compliance requirements into the platform by design, while continuously shipping new capabilities that improve reliability, usability, and business impact at global scale.
About JPMorgan Chase
Global financial services and investment banking firm.
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