Job Title : Principal AI Cloud Architect – Azure Cloud
Location: US (Remote)
Employment Type: Full-time
Job Descriptio n
We are seeking a seasoned Principal AI Cloud Architect to lead the shift of our Cloud business unit to an AI-first operating model. This role will build and lead a small team of engineers focused on designing, deploying, and running AI agents that manage, monitor, and optimize our Cloud infrastructure in Microsoft Azure. It is also client-facing. You will help clients adopt AI-driven Cloud operations and work closely with development teams to deliver enterprise-grade solutions.
The ideal candidate is an expert in Azure architecture with hands-on experience building production agentic AI systems. They also bring deep knowledge of data platforms (including Databricks), Cloud networking, identity and access management, and operational excellence. They will set the AI strategy for the Cloud business unit and turn it into working agents that reduce manual effort, improve reliability, and keep Cloud environments secure, compliant, and cost-effective.
Key Responsibiliti es
Define and drive the AI strategy and roadmap for the Cloud business unit, moving infrastructure operations from manual and script-based processes to agent-driven automation
Build, lead, and mentor a team of 2–6 AI and Cloud engineers responsible for designing, developing, and operating AI agents in production
Architect multi-agent systems for AIOps, including anomaly detection, event correlation, ITSM ticket triage, and self-healing runbooks that reduce mean time to detect (MTTD) and mean time to resolve (MTTR)
Lead the design of agents that generate, review, and validate Infrastructure as Code (Terraform, Bicep), with policy checks and automated validation built into CI/CD pipelines before changes reach production
Develop FinOps agents that identify cost anomalies, rightsizing opportunities, and idle resources, and act on them within defined guardrails
Design security and compliance agents for posture assessment, configuration drift detection, and automated collection of audit evidence
Establish AI governance for agent operations, including human-in-the-loop approvals, access controls, guardrails, audit logging, and responsible AI practices suited to a regulated healthcare environment
Partner with business stakeholders, clients, and engineering teams to define and architect end-to-end Cloud and AI solutions aligned with strategic objectives
Lead architecture for data and analytics platforms, including Azure Databricks and the data foundations that support AI workloads
Drive operational excellence, including monitoring, logging, observability, resiliency, and disaster recovery, for both Cloud platforms and the agents that run on them
Establish and promote architecture standards, reusable agent patterns, and reference architectures across the organization
Translate complex technical concepts into clear business value for clients and executive stakeholders, including measurable outcomes from AI adoption
Evaluate emerging AI technologies, frameworks, and models, and keep improving the organization’s Cloud and AI capabilities and innovation roadmap
Required Qualification s
15+ years of experience in IT, with at least 10 years focused on Cloud architecture (Azure preferred)
3+ years of hands-on experience with AI/ML, including at least 2 years building and deploying LLM-based or agentic AI solutions in production
Experience leading and developing engineering teams, including hiring, coaching, and setting technical direction
Hands-on experience with Azure AI Foundry, Azure OpenAI, and agent frameworks
Working knowledge of agent design patterns, including tool use, multi-agent orchestration, retrieval-augmented generation (RAG), and Model Context Protocol (MCP)
Experience applying AI or automation to Cloud operations (AIOps, automated remediation, IaC generation, FinOps, or security posture management)
Proven track record of working directly with…