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AI Architect

Job in Spring, Harris County, Texas, 77373, USA
Listing for: HP Development Company, L.P.
Full Time position
Listed on 2026-07-03
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations, Systems Engineer
Salary/Wage Range or Industry Benchmark: 137250 - 202450 USD Yearly USD 137250.00 202450.00 YEAR
Job Description & How to Apply Below

AI Architect

We are seeking a highly skilled AI Architect to design and implement AI-driven solutions for HP's on-premises and cloud-based server and storage infrastructure. This role will focus on leveraging artificial intelligence and machine learning to improve productivity, increase uptime, and reduce overall spend across our infrastructure landscape. The ideal candidate will combine deep technical expertise with strategic vision to modernize HP's infrastructure operations through automation, predictive analytics, and intelligent optimization.

Key Responsibilities
  • Architecture & Design

    • Develop end-to-end AI architecture for server and storage environments (on-prem and cloud).
    • Define scalable, secure, and cost-efficient AI frameworks for infrastructure automation and optimization.
    • Select appropriate AI/ML technologies, tools, and platforms (e.g., Azure ML, AWS Sage Maker, Kubernetes, Terraform).
  • Implementation & Integration

    • Lead deployment of AI solutions for predictive maintenance, anomaly detection, and capacity planning.
    • Integrate AI models into existing IT workflows (e.g., monitoring, patching, ticket resolution).
    • Collaborate with infrastructure, storage, and cloud teams to ensure seamless integration.
  • Optimization & Governance

    • Drive automation initiatives (Zero-Touch IT, AIOps) to reduce manual effort and improve reliability.
    • Implement cost optimization strategies using AI-driven insights for resource utilization and spend reduction.
    • Ensure compliance with HP's security and governance standards.
  • Collaboration & Leadership

    • Work closely with data scientists, Dev Ops, and business stakeholders to align AI initiatives with HP's strategic goals.
    • Provide thought leadership on emerging AI technologies and infrastructure trends.
    • Mentor technical teams on AI best practices and architecture principles.

Required Qualifications

  • Bachelor's/Master's in Computer Science, Data Science, or related field.
  • 7+ years in infrastructure architecture/operations; 3+ years architecting enterprise AI/ML solutions.
  • Hands-on expertise with:
    • AI/ML:
      Azure ML, AWS Sage Maker, Python (PyTorch/Tensor Flow), feature/store design.
    • Automation/MLOps:
      Git Hub Actions/Azure Dev Ops, Terraform/Ansible, model monitoring, drift detection.
    • Platforms:
      Kubernetes, containers, microservices, event streaming (Kafka).
    • Observability:
      Prometheus/Grafana/Datadog/Splunk; log/metric/trace correlation for AIOps.
  • Strong grasp of AIOps, predictive analytics, reliability engineering, and infrastructure-as-code.
  • Experience with compliance frameworks (SOX/ITGC) and enterprise security controls.

Preferred Skills

  • Deep experience with HPE server and storage technologies—e.g., Pro Liant, Alletra/Primera, Nimble/3

    PAR, HPE management tooling (iLO, One View), backup/DR integrations, and storage protocols (FC, iSCSI, NVMe-oF, S3/Object).
  • Hands-on experience with AWS and Azure infrastructure services (EC2/EBS/EFS/S3; Azure VMs/Disks/Blob/Files), identity and policy (IAM/Azure AD), networking (TGW/VPC, VNets), and cost levers (Savings Plans/RI, Azure Reservations).
  • Familiarity with Fin Ops practices (tagging, allocation, anomaly detection, optimization playbooks) and partnering with Finance/ITFM.
  • Background in Service Now (CMDB, Incident/Change, automation via APIs) and integrating AI agents with ITSM workflows.

Impact of the Role

  • Predictive maintenance to reduce downtime.
  • Automated provisioning and patching for faster delivery.
  • Cost savings through intelligent resource optimization.
Success Measures (first 12 months)
  • ≥15% spend reduction across selected server/storage footprints through AI-guided rightsizing and lifecycle policies.
  • ≥20% decrease in manual tasks for provisioning/patching via ZTI/AIOps integrations.
  • Product ionizing 3–5 AI use cases with measurable reliability and cost KPIs.

The base pay range for this role is $137,250 to $202,450 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience.

HP offers a comprehensive benefits package for this position, including:

  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability…
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