Controls Room AIML Developer Senior Associate

The Controls Room is a physical and virtual room containing firmwide control-related information to enable rapid access to relevant data advanced analytics and proactive issue identification. The Controls Room Team is designed to facilitate better monitoring and management of the Firms control environment through the creation and maintenance of Firmwide Systems which support key Operational Risk Frameworks as well as a Firmwide Reporting Utility that provides standardized control-related data and encourages quick efficient and accurate reporting and analytics. The primary goal is to enhance risk and control oversight through the standardization and automation of operational risk recording and reporting as well as provide access to firmwide aggregated information and to produce business risk insight.

Description for Internal Candidates
Central Control Management solidifies an effective firmwide control framework within and across all lines of business by identifying and remediating control issues with a sense of urgency irrespective of the functional area. The Central Control Management team works collaboratively with other control disciplines and oversees existing control functions as well as the development of new control functions and protocols. This process enables the firm to engage the appropriate teams in a timely manner and provides the ability to quickly remediate critical control issues across all the impacted areas of the firm.
Help build agentic systems that turn control data into actionable insight through multi-step reasoning dynamic tool use and intelligent workflow orchestration. This role offers the opportunity to design and implement intelligent agents that understand control problems retrieve relevant information reason across complex scenarios and take guided action. You will work across data engineering and business teams to develop agents that interact naturally with users and systems while maintaining appropriate governance and control. Your work will contribute directly to faster decision-making smarter automation and improved risk oversight.

Job summary
As a Controls Room Quant Modeling Senior Associate in the Controls Room team you design and build agentic systems that improve control monitoring analytics and decision support. You will work on agent architecture workflow orchestration tool integration and agent reasoning patterns that enable natural multi-step problem solving. We are looking for someone with strong engineering fundamentals practical experience with LLMs and agent frameworks and the ability to contribute effectively across data engineering and business teams.

Job responsibilities
Design and implement Multi-Agent Dynamic System hat enable multi-turn reasoning tool use and dynamic decision-making for control management problems
Develop and Design and integrate tools and data connections that agents use to retrieve information validate data and take action
Build and maintain orchestration logic for agent routing state management and workflow coordination
Work with LLMs and prompt design to shape agent behavior reasoning patterns and response quality
Contribute to agent architecture and design decisions including agent decomposition memory management and multi-agent coordination
Partner with data product and engineering teams to translate business problems into practical agentic solutions
Implement validation testing and evaluation frameworks for agent performance accuracy and reliability
Support observability and monitoring for agent systems including reasoning traces tool calls and decision auditing
Help build reusable agent templates patterns and tooling that accelerate delivery across use cases
Document agent design assumptions tool specifications and operational procedures for technical and non-technical audiences
Support governance and control requirements by implementing traceability human-in-the-loop checkpoints and appropriate safeguards into agent workflows

Required qualifications capabilities and skills
Bachelors degree Masters degree or Ph.D. in Computer Science Data Science Engineering or a related quantitative discipline
3 years of experience building software data or backend systems in production or near-production environments
Strong Python programming skills including debugging testing and writing maintainable code
Foundational understanding of Large Language Models transformer-based architectures and LLM capabilities and limitations
Experience with at least one LLM-based agentic framework or library
Experience integrating external tools APIs and data services into software or machine learning systems
Experience designing or implementing multi-step workflows state machines or orchestration logic
Experience with prompt engineering prompt templates and shaping model behavior through instructions
Familiarity with monitoring logging and operational support practices for production applications
Ability to solve problems independently within defined scope and collaborate effectively across cross-functional teams
Ability to communicate technical work clearly to both technical and non-technical stakeholders

Preferred qualifications capabilities and skills
Experience building or deploying agentic systems in production or enterprise environments
Experience with retrieval-augmented generation (RAG) and grounding strategies for LLMs
Experience with async task execution event-driven workflows or asynchronous coordination patterns
Experience implementing agent memory context management or multi-turn conversation patterns
Familiarity with responsible AI practices model governance or human-in-the-loop review patterns in agent systems
Experience with observability and tracing tools for understanding system behavior and reasoning
Experience in risk controls compliance or other highly governed environments

Please note- We are unable to provide sponsorship for this role now or in the future.