Pratheep Ramanujam

Pratheep Ramanujam

VP, Goldman Sachs · AI Solutions Architect & Data Platform Leader · Shipping Agentic Systems in Production

Goldman Sachs · Vice President
Open to enterprise AI architecht and leadership roles

I architect and deploy AI-powered agentic systems and data platforms that transform how organizations operate and make informed decisions. Over 16 years across 4 countries — partnering with clients, sales, vendors, and business stakeholders from pre-sales through production — I've shipped production agentic AI workflows, designed solutions architecture for firm-critical analytics platforms, and built infrastructure processing 2 billion+ transactions daily. I bridge the gap between frontier AI capabilities and real-world enterprise needs, turning complex technical possibilities into deployed systems that teams actually use.

16+
Years Experience
$50M
Annual Savings
90%
Faster Processing
2B+
Daily Transactions
20+
Engineers Mentored
What I Do
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Enterprise Data & Analytics Solutions

Architected and modernized Goldman Sachs' Revenue Analytics Platform into a high-throughput engine computing global trading revenues, client charges, and desk-level profitability. Drove $50M in annual savings through execution cost analytics and trade routing optimization — solving complex data warehousing and pipeline challenges at institutional scale.

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Agentic AI Systems & Enterprise AI Deployment

Self-initiated and built the firm's first AI-powered intelligence layer — from concept to production. Designed agentic workflows, LLM orchestration pipelines, and evaluation frameworks enabling front-office users to query complex financial data in natural language. Shipped governance-constrained AI systems within auditable, policy-compliant frameworks — proving frontier AI can be deployed safely for high-stakes enterprise use cases.

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Regulatory Engineering at Scale

Own Goldman Sachs' Consolidated Audit Trail (CAT) reporting — the most demanding regulatory system in US markets. Process 2B+ transactions daily for SEC/FINRA with error rates that dramatically outperform industry standards.

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Cloud & Platform Modernization

Led hybrid cloud migration of 500TB+ financial data infrastructure, saving $20M annually while boosting throughput 5x. Built reusable Python ETL frameworks now powering 10+ mission-critical pipelines.

Career Journey
Vice President — Data Platform & Analytics, Equities Electronic Trading
Goldman Sachs
2018 — Present · 7+ years
New York, NY
Own the full data lifecycle for equities trading — from pre-sales technical enablement and client onboarding through production support and ongoing platform evolution. Serve as the primary technical partner to sales and trading stakeholders, translating business needs into scalable data solutions. Delivered $50M in annual savings through advanced trade routing cost analytics and platform modernization. Architected the Consolidated Audit Trail reporting engine processing 2B+ daily transactions for SEC/FINRA. Self-initiated the firm's first agentic AI system — designed architecture, built evaluation frameworks, and shipped to production. Manage cross-regional teams across US, EMEA, and Asia. Mentored 20+ engineers in AI-first development.
Pre-Sales & Client Enablement AI/Agentic Systems Solutions Architecture Data Platforms Revenue Analytics Regulatory Engineering
Engineering Manager — Enterprise Data Systems
Virtusa · JPMorgan Chase
2017
Columbus, OH
Bridged business leadership and engineering teams to deliver Chase's Address Standardization initiative — a bank-wide data quality program impacting retail operations at scale. Authored functional and technical specifications, designed a real-time postal-verification engine, and led production rollout across multiple business lines.
Senior Consultant — Client-Embedded Systems/Solutions Engineering
Infosys · UBS, Ameriprise, Deutsche Bank
2009 — 2017 · 7.5 years
India → Singapore → London → New York
Embedded directly at client sites across 4 countries, serving as the technical bridge between business stakeholders and engineering for top-tier investment banks. Led the global rollout of UBS's equities BI platform across Asia, EMEA, and North America. Built regulatory reporting systems (OATS) and execution cost analytics. Participated in pre-sales, demonstrating technical solutions to prospective clients. Collaborated with 100+ business processes for end-to-end solutions design.
Client-Embedded Delivery Solutions Architecture Pre-Sales BI & Data Platforms Regulatory Reporting
Education
MBA in Engineering Management
Coventry University, UK
2012 — 2014
Graduated with Merit. Dissertation: "Winning Opportunity or Hype — Data Analytics in Capital Markets". Top grade in Financial Decision Making & Risk Analysis.
B.Tech — Electrical & Electronics Engineering
Anna University (SSN College), India
2005 — 2009
Graduated with Distinction. Designed low-energy electromagnetic induction system for industrial applications. Intern at Indian Railways. NSS volunteer. Co-founded data-driven marketing company during college.
Certifications
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Cloud Data Engineer
Google Cloud
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SnowPro Certified
Snowflake
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Machine Learning
Stanford University
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Applied Data Science with Python
University of Michigan
Technologies
LLMs / Gen AI Agentic Workflows LangGraph Google ADK Claude Agent SDK RAG Evaluating Frameworks Python TypeScript TensorFlow Kafka Spark Flink AWS GCP Azure Snowflake Docker Kubernetes Airflow Streamlit SQL Java
Memberships
IEEE Senior Member
IICSPA Fellow Member
Professional Contributions
IEEE Paper Reviewer
Springer Paper Reviewer
Elsevier Journal Reviewer
Conference Session Chair
Hackathon Judge
Multiple Hackathon Winner
AI Advisory & Community
AI Architecture Evaluator — Agentic AI Platforms
Technical Advisor — AI Startups
Vendor Technology Evaluator — Enterprise AI Tooling
Project NANDA — NYC Chapter Lead

Where AI, Data, Strategy, and Execution Meet — Let's Talk

From enterprise AI solutions architecture to production-grade agentic systems — I help organizations turn frontier AI into deployed, measurable outcomes.

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