Job Description

Leads the architecture of an AI agent platform that automates data-platform provisioning across AWS and Azure.

Must-have

- Designing multi-agent, LLM-based systems: intent routing, tool calling, MCP servers, guardrails

- Strong AWS and Azure architecture: IAM, VPC/VNet, Private Link and private endpoints, service principals, managed identities

- Databricks on AWS and Azure: workspace deployment, Unity Catalog, account-level administration

- Security by design: least-privilege access, secrets management, audit logging, presenting designs to security reviewers

- Infrastructure as code (Terraform)

- Enterprise integrations: Service Now, Microsoft Graph, Power Automate

RequirementsNice-to-have:




Amazon Data Zone / Sage Maker Unified Studio, Microsoft Fabric administration, pharma or life sciences experience
Requirements
Design and lead enterprise-grade AI/GenAI solution architecture. Solid hands-on experience with Python, LLMs, RAG, AI agents, and API integrations. Experience with cloud AI platforms (AWS/Azure), vector databases, and scalable architectures. Define technical standards, security, performance, and deployment strategies. Guide AI developers and ensure end-to-end solution integration and delivery.

📌 Solutions Architect - AI (India)
🏢 RADcube - A NLogix
📍 India