GENAI Architect

We are looking for an experienced Generative AI Architect to design and lead enterprise-scale GenAI solutions. The role involves GenAI architecture, LLMs, RAG, agentic AI, AI governance, and enterprise solution design, with a focus on secure, scalable, and compliant AI deployments.
Responsibilities:
Define and lead GenAI architecture strategy and roadmap.
Design scalable and reusable enterprise GenAI platforms.
Architect RAG pipelines, fine-tuning solutions, and agentic AI frameworks.
Design multi-agent systems, conversational AI, knowledge assistants, and copilots.
Establish AI architecture standards, best practices, and reference architectures.
Lead technical teams and provide architecture guidance.
Ensure security, governance, compliance, and scalability of AI solutions.
Strong understanding of LLMs, generative AI, and enterprise AI architecture.
Experience in banking / financial services or other regulated environments is preferred.
Requirements:
The candidate must have at least one of the following proctored certifications: Databricks Certified Generative AI Engineer Associate, Google Professional Machine Learning Engineer, NVIDIA Certified Professional - Agentic AI (NCP-AAI). AWS Certified AI Practitioner.

Experience
10-14 yrs