Enterprise Generative AI Technical Architecture
Established the foundational blueprint for secure, scalable, and governed Generative AI adoption across the bank, enabling the delivery of high-impact use cases.
Project Overview
In 2024, I architected and secured Cloud Architecture Panel endorsement for the bank's first enterprise-grade Generative AI Technical Architecture. My design introduced a phased modular approach, an evolutionary model aligned with business priorities, and a comprehensive reference model now widely reused by multiple lines of business.
The architecture details data ingestion, processing, embedding, retrieval, generation, and validation pipelines. It also incorporates advanced governance constructs such as Model Armor and Gen AI Gateways to mitigate risks like prompt injection, data leakage, and model drift.
Key Features
- Enabled conversational AI with Vertex Agent Builder.
- Leveraged GCP services including Vertex AI, Gecko Embeddings, and Document AI.
- Orchestrated workflows through Tachyron APIs, secured via Apigee gateways.
- This architecture positioned the bank for secure and strategic Gen AI adoption while unlocking transformative potential.
Technologies Used
Project Gallery
Project Details
Client
Major Financial Institution (Internal)
Timeline
2024
Role
Lead AIML Architect
More Projects
© 2025 Muthu. All rights reserved.