AI Enterprise Architect

About the role

As a Principal AI Architect, you will define the architectural vision and technical standards for enterprise AI platforms, connecting strategic business requirements with engineering execution. You will work across engineering, data, cloud, cybersecurity and business teams to establish scalable patterns for Machine Learning Operations (MLOps), Generative AI, Retrieval-Augmented Generation (RAG), model serving, data processing and AI governance.

What you'll do

• Define the architectural vision and technical standards for enterprise AI platforms, connecting strategic business requirements with engineering execution
• Work across engineering, data, cloud, cybersecurity and business teams to establish scalable patterns for Machine Learning Operations (MLOps), Generative AI
• Define end-to-end architecture for enterprise-scale AI, ML and Generative AI platforms across cloud and distributed environments
• Establish reusable architectural patterns for Retrieval-Augmented Generation (RAG), model fine-tuning, inference, model serving, vector search and MLOps
• Evaluate architectural trade-offs across scalability, performance, security, reliability and cost

What you need

• 8–14 yrs of experience
• AWS
• Kubernetes
• Docker
• Kafka
• Microservices
• LLMs
• Any graduate

Good to have

• Data privacy
• Machine learning
• MLOps
• GCP
• Spark
• Azure