Eswaran Rathinam

Eswaran Rathinam

Eswaran Rathinam

Builds production AI agents for Aladdin, from agent architecture to observability.

Session

Main Stage

Date

Monday, November 30

Level

Everyone

// AI Engineering Skill /

Building agentic systems

// 01 / Bio

Eswaran Rathinam is a Senior Software Engineer at BlackRock, where he builds production AI agents and automation for Aladdin, the firm’s investment platform. His work runs from agent architecture to observability, the tooling that shows how agents behave once real clients are using them.

He came to AI agents from full-stack engineering. His background spans frontend, backend, data engineering and DevOps, with several years focused on application engineering in Java. He is an active member of the Atlanta Java User Group, has spoken at Devnexus, and spends his time away from the keyboard rock climbing and running.

// 02 / The session

Guardrails for client-facing agents in a regulated firm

Abstract

What does it take to put AI agents in front of clients at one of the world’s largest asset managers? BlackRock engineers share how they build guardrails into client-facing agents on Aladdin, in an industry where every answer has to hold up to scrutiny.

Client requests on Aladdin go through the Intelligent Servicing Platform, which hands each one to a domain-specific agent that can answer the question or carry out the task. A generic content filter doesn’t know what a given agent is supposed to do, so the team designs guardrails around each agent’s specific job.

Sankara and Eswaran walk through how these agents are built on RockAI, BlackRock’s internal agent development kit and inference platform, how they’re monitored once they’re live, and what it took to get generative AI approved and governed inside a regulated financial firm.

Co-presented with Sankara Ramakrishnan.

What you’ll learn

Why generic guardrails fall short for domain agents

How BlackRock builds client agents on its internal platform

Getting generative AI approved in a regulated firm

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