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.
• Manage the end-to-end ML lifecycle, including data ingestion, training, deployment, and drift tracking.
• Implement agentic workflows and vector search strategies for various use cases.
• Mentor technical teams to ensure high standards of delivery and architectural excellence.

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.
• 3+ years of experience implementing AI, ML, or knowledge-based systems, including agentic workflows and RAG pipelines.
• Experience with Azure AI Search, PostgreSQL PgVector, Azure APIM/AI Gateway, and full-stack observability tools like 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 ingestion, training, deployment, and Azure Databricks for Lakehouse integration.
• Bachelor's degree; Master's degree in CS, MIS, or IT (preferred); Azure or AWS Certifications (preferred).