Principal AI Cloud Architect – Azure Cloud

🔥 17 hours ago

🌲 North Carolina, Michigan, +4 more states – Remote

🌲 North Carolina – Remote 🚗 Michigan – Remote 🏰 Missouri – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote

💵 $140k - $170k / year

⏰ Full Time

🔴 Lead

☁️ Cloud Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Harris Computer

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Harris Computer is a company that provides mission-critical software solutions across various industries, including the public sector, healthcare, utilities, and private sector verticals. They focus on acquiring businesses with growth potential, managing them effectively, and building them for future success. Harris Computer serves over 100,000 customers with a global presence in North America, Europe, Asia, and Australia, employing over 12,000 people. Their mission is to empower customers to deliver on their goals by offering tailored software and services.

📋 Description

• 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

• 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

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

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume