Azure AI Cloud Architect & AI Ops Leader

Harris Teeter, LLC.

North Carolina

À distance

USD 140 000 - 170 000

Plein temps

Il y a 4 jours
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Résumé du poste

Harris Teeter seeks a seasoned Principal AI Cloud Architect to lead the shift of our Cloud business unit to an AI-first operating model. This remote US role builds and guides a small team focused on designing, deploying, and running AI agents that manage and optimize our Azure cloud infrastructure.

The ideal candidate has deep Azure architecture expertise, hands-on AI/ML work, and strong stakeholder communication.

Qualifications

  • :15+ years of IT experience with at least 10 years in Cloud architecture (Azure preferred).
  • :3+ years of hands-on AI/ML experience including 2+ years building and deploying 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, and Model Context Protocol
  • :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

Responsabilités

  • 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 MTTD and 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 for regulated healthcare environments
  • 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 data foundations that support AI workloads
  • Drive operational excellence, including monitoring, logging, observability, resiliency, and disaster recovery for Cloud platforms and agents

Connaissances

Azure Cloud Architecture
AI/ML
Leadership
Azure Databricks
AIOps
Terraform
Bicep
CI/CD
Security
Communication

Formation

Bachelor's degree in Computer Science or related

Outils

Azure Databricks
Terraform
Bicep
CI/CD pipelines
IAM

Description du poste

Harris Teeter seeks a seasoned Principal AI Cloud Architect to lead the shift of our Cloud business unit to an AI-first operating model. This remote US role builds and guides a small team focused on designing, deploying, and running AI agents that manage and optimize our Azure cloud infrastructure.

The ideal candidate has deep Azure architecture expertise, hands-on AI/ML work, and strong stakeholder communication.

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