Objective
Work with the AI architecture and engineering teams to build and operationalize the cloud foundation required for agentic AI applications — enabling secure, repeatable, and automated deployment across the Marketing AI stack.

Key Responsibilities
Implement GitOps pipelines for AI-agent deployment, working with the Data Office and engineering teams.
Review and configure cloud (Azure) subscriptions and landing zones — networking, identity, secrets management, monitoring, and deployment automation — in line with HPE cybersecurity requirements, and support Architecture Review Board (ARB) requests.
Create reusable infrastructure templates, deployment pipelines, and operational runbooks for all AI applications.
Support onboarding of the agent platform, Databricks, and inter-agent infrastructure components (MCP, agent-to-agent services) into production environments.
Execute and document deployment, security, performance, and operational-readiness testing.

AgentOps & Production Operations
Stand up monitoring, observability, and centralized logging for AI agents and services,



with actionable alerting on health, performance, and cost.
Own agent lifecycle management in production — automated deployment, versioning, controlled rollout, rollback, and upgrades.
Implement runtime governance and guardrails (usage controls, safety and policy checks, human-in-the-loop hooks) and ensure agent actions are auditable.
Define operational support processes and runbooks so AI systems run reliably at enterprise scale — not just get built.

Expected Deliverables
A working GitOps deployment process for AI agents.
A secure cloud landing zone and shared infrastructure services.
Standardized deployment pipelines for AI applications.
Operational documentation and automated deployment workflows.
An operational AgentOps setup — monitoring, logging, and alerting across the AI applications.
Automated agent deployment, versioning, and rollback processes, with runtime guardrails, audit loggin

📌 AI Cloud Architect (Bengaluru)
🏢 GLIDER.ai
📍 Bengaluru