Principal AI Cloud Architect – Azure Cloud

Harris Computer

. Define and drive the AI strategy and roadmap for the Cloud business unit .

Posted 11/3/2026full-timeRemote • United StatesLead💰 $140,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in Cloud architecture, particularly with Microsoft Azure, and a strong background in AI/ML solutions, including LLM-based applications. Proven ability to lead engineering teams, establish AI governance, and translate technical strategies into business value.

Highest-signal resume keywords

Cloud Architecture (Azure)AI/ML Solutions DevelopmentTeam Leadership and MentoringAzure Databricks and Data ArchitectureAI Governance and Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Multi-Agent Systems ArchitectureTerraform and Bicep Infrastructure CodeAIOps and Automated RemediationFinOps and Cost ManagementSecurity Posture ManagementAI Frameworks and Models EvaluationCI/CD Pipeline DevelopmentData Lakes and ETL/ELT ProcessesAnomaly Detection and Event CorrelationModel Context Protocol (MCP)

Soft Skills

Strong Communication SkillsLeadership and CollaborationAnalytical Problem-SolvingClient Relationship ManagementOrganizational Skills

Tools & Technologies

Azure AI FoundryAzure OpenAIAzure DatabricksCI/CD ToolsMonitoring and Logging Tools

Certifications & Qualifications

Azure Solutions Architect ExpertAzure AI Engineer Associate

Industry Keywords

Healthcare Compliance (HIPAA)AI Governance FrameworksProtected Health Information (PHI)Cloud OperationsRegulated Industries

Tech Stack

Tools & technologies

AWSAzureCloudETLITSMTerraform

About the role

Key responsibilities & impact

Define and drive the AI strategy and roadmap for the Cloud business unit
Build, lead, and mentor a team of 2–6 AI and Cloud engineers
Architect multi-agent systems for AIOps, including anomaly detection, event correlation, ITSM ticket triage, and self-healing runbooks
Lead design of agents for generating, reviewing, and validating Terraform and Bicep infrastructure code within CI/CD pipelines
Develop FinOps agents for cost anomalies, rightsizing opportunities, and idle resources
Design security and compliance agents for posture assessment, configuration drift detection, and audit evidence collection
Establish AI governance with human approvals, access controls, guardrails, audit logging, and responsible AI practices
Partner with business stakeholders, clients, and engineering teams on end-to-end Cloud and AI solutions
Lead architecture for Azure Databricks and data platforms supporting AI workloads
Drive monitoring, logging, observability, resiliency, and disaster recovery for Cloud platforms and agents
Establish architecture standards, reusable agent patterns, and reference architectures
Translate technical concepts and AI adoption outcomes into business value for clients and executives
Evaluate emerging AI technologies, frameworks, and models
Provide status reports against the roadmap and adoption strategy
Travel up to 20% for client meetings, project work, or team collaboration

Requirements

What you’ll need

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 clients and cross-functional development teams to deliver enterprise solutions
Deep expertise in Microsoft Azure services, including compute, storage, security, and platform services
Hands-on experience with Azure Databricks and modern data architecture (data lakes, ETL/ELT, streaming, lakehouse)
Strong communication and presentation skills, with the ability to influence both technical and executive stakeholders
Preferred: Experience with AWS or Google Cloud in addition to Azure
Preferred: Experience in healthcare or other regulated industries, including HIPAA and handling protected health information (PHI)
Preferred: Familiarity with AI governance frameworks such as the NIST AI Risk Management Framework
Preferred: Experience with LLMOps practices, including agent evaluation, prompt and model versioning, and monitoring agent behavior in production
Preferred: Relevant certifications such as Azure Solutions Architect Expert or Azure AI Engineer Associate
Excellent communication skills and ability to explain complex technical and AI concepts
Ability to provide clear and concise status reports against roadmap and overall adoption strategy
Strong leadership, collaboration, analytical, problem-solving, organizational, and client relationship skills
Pragmatic approach to AI adoption, balancing innovation with security, reliability, and risk
Commitment to quality, operational excellence, and continuous improvement

Benefits

Comp & perks

Up to 20% travel may be required for client meetings, project work, or team collaboration