Cloud Platforms and Agentic AI Architect

What you'll do

• Design and deliver scalable multi-cloud AI systems and API-driven, event-based applications.
• Build Lakehouse architectures and retrieval-augmented generation (RAG) pipelines using structured and unstructured data.
• Establish API governance and multi-cloud LLM routing using Azure APIM or AI Gateway.
• Oversee cloud infrastructure provisioning and full-stack observability across Azure and AWS environments.
• Guide the end-to-end ML lifecycle from data ingestion and training through deployment and traceability.
• Implement agentic delivery practices and modern AI workflows including vector search and ontology-driven architecture.
• Manage cloud infrastructure components including AKS, Container Apps, and Azure Databricks for Lakehouse integration.

What we're looking for

• 10+ years of experience leading enterprise IT and software delivery programs, including cloud migration or modernization.
• 8+ years of experience designing Azure or AWS cloud architectures.
• 5+ years of experience building API-first, microservices-based, and event-driven applications such as Azure Service Bus and Event Grid.
• 3+ years of experience implementing AI, ML, or knowledge-based systems, including agentic workflows, RAG pipelines, and vector search.
• Experience with Azure AI Search, PostgreSQL PgVector, Azure APIM, and full-stack observability using Azure Monitor and OTel.
• Experience with cloud infrastructure provisioning across Azure (AKS, Container Apps, Functions) and AWS.
• Experience with end-to-end ML lifecycle workflows, including Azure Databricks and Lakehouse integration.
• Master's degree in CS, Management Information Systems, or IT (preferred).
• Azure or AWS Certifications (preferred).