Assistant Vice President– Generative AI – Systems Architect

Architect and design end-to-end systems for production-grade Generative AI applications (e.g., LLM-based chatbots, copilots, content generation tools).

Define and oversee system architecture covering data ingestion, model training/fine-tuning, inferencing, and deployment pipelines.

Establish architectural tenets like modularity, scalability, reliability, observability, and maintainability.

Collaborate with data scientists, ML engineers, platform engineers, and product managers to align architecture with business and AI goals.

Choose and integrate foundation models (open source or proprietary) using APIs, model hubs, or fine-tuned versions.

Evaluate and design solutions based on architecture patterns such as Retrieval-Augmented Generation (RAG), Agentic AI, Multi-modal AI, and Federated Learning.

Design secure and compliant architecture for enterprise settings, including data governance, auditability, and access control.

Lead system design reviews and define non-functional requirements (NFRs), including latency, availability, throughput, and cost.

Work closely with MLOps teams to define the CI/CD processes for model and system updates.

Contribute to the creation of reference architectures, design templates, and reusable components.

Stay abreast of the latest advancements in GenAI, system design patterns, and AI platform tooling.