FW Control Management - Controls Room Quant Modeling Lead - Hyderabad

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Skills you'll use

What you'll do

• Design and build agentic control systems: Design and implement multi-agent dynamic systems that support multi-turn reasoning, tool use, and dynamic decision-making for control management problems.
• Tooling and data integration: Develop, design, and integrate the tools and data connections agents use to retrieve information, validate data, and take action.
• Orchestration ownership: Build and maintain orchestration logic for agent routing, state management, and workflow coordination across agent workflows.
• LLM behavior shaping: Work with LLMs and prompt design to shape agent behavior, reasoning patterns, and response quality.
• Agent architecture decisions: Contribute to and lead architecture and design decisions including agent decomposition, memory management, and multi-agent coordination.
• Cross-functional delivery partnership: Partner with data, product, and engineering teams to translate business problems into practical agentic solutions for Controls Room.
• Validation, testing, and evaluation: Implement validation, testing, and evaluation frameworks for agent performance, accuracy, and reliability.
• Observability and monitoring: Support observability and monitoring for agent systems, including reasoning traces, tool calls, and decision auditing.
• Reusable patterns and templates: Help build reusable agent templates, patterns, and tooling that accelerate delivery across use cases.
• Documentation: Document agent design, assumptions, tool specifications, and operational procedures for technical and non-technical audiences.

Who can apply

• BS/MS/PhD in Computer Science, Data Science, Engineering, or related quantitative field
• 15+ years building production (or near-production) software, data, or backend systems
• Strong Python (debugging, testing, maintainable code)
• Solid fundamentals in LLMs/transformers; clear understanding of capabilities and limitations
• Hands-on experience with at least one LLM agentic framework/library
• Experience integrating tools/APIs/data services into software or ML systems
• Experience building multi-step workflows (state machines/orchestration logic)
• Prompt engineering experience (templates, instruction design to shape behavior)
• Familiar with production monitoring, logging, and operational support
• Strong independent problem-solving within scope; effective cross-functional collaborator

About JPMorgan Chase

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