Remote Azure AI Cloud Architect – Principal Lead

Harris; United States; Remote; USD 140,000 - 170,000; Full time

Job summary

Harris is seeking a Principal AI Cloud Architect to lead our AI-first shift in Azure Cloud. This remote US role will guide a small team to design, deploy, and run agentic AI systems managing and optimizing cloud infrastructure on Azure.

The ideal candidate will own AI strategy, architect multi-agent AIOps, and collaborate with clients and engineering teams to deliver enterprise-grade cloud solutions.

Qualifications

• 15+ years of IT experience with 10+ years in Cloud architecture (Azure preferred).
• 3+ years hands-on AI/ML with production LLM/agentic AI.
• Experience leading engineering teams and setting technical direction.
• Hands-on with Azure Databricks and modern data architectures.
• Strong communication and ability to influence executives.

Responsibilities

• Define and drive the AI strategy and roadmap for the Cloud 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.
• 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.

Skills

Cloud architecture

Azure AI Foundry

Azure OpenAI

Agent frameworks

AIOps

Databricks

Data architecture

Leadership

Client engagement

Communication

Job description

Harris is seeking a Principal AI Cloud Architect to lead our AI-first shift in Azure Cloud. This remote US role will guide a small team to design, deploy, and run agentic AI systems managing and optimizing cloud infrastructure on Azure.

The ideal candidate will own AI strategy, architect multi-agent AIOps, and collaborate with clients and engineering teams to deliver enterprise-grade cloud solutions.