About the role
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.