Senior AI Architect – Enterprise

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🔥 0 minutes ago

🏄 California, New York, +2 more states – Remote

🏄 California – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🤠 Texas – Remote

💵 $128.8k - $302.4k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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Hewlett Packard Enterprise

WebsiteLinkedInAll Job Openings

10,000+ employees

🏢 Enterprise

🔧 Hardware

🤖 Artificial Intelligence

💰 $1.5G Post-IPO Equity - Hewlett Packard Enterprise on 2025-04

Enterprise • Hardware • Artificial Intelligence

Hewlett Packard Enterprise is an enterprise-focused technology company that delivers infrastructure, software, and services to help organizations build, manage, and secure hybrid cloud and AI-enabled environments. The company’s offerings — reflected in the provided text — include servers and high-performance computing (HPE ProLiant, HPE Cray), enterprise storage (HPE Alletra), networking products and services (HPE Aruba, Juniper partnership), AI platforms and turnkey AI factories, hybrid cloud and as-a-service offerings (GreenLake), security and networking (Zero Trust, SASE), and a broad portfolio of professional, advisory, and support services. HPE positions itself as a partner for large organizations modernizing data centers, deploying AI at scale, and adopting hybrid cloud operations.

📋 Description

• Lead end-to-end architecture design for sovereign AI deployments • Develop scalable, secure AI/ML reference architectures covering model lifecycle management, data pipelines, inference infrastructure, and governance • Evaluate technologies, cloud/on-premises infrastructure, and tooling • Provide architectural oversight across implementation teams • Identify, assess, and manage risks across the AI solution lifecycle • Develop governance frameworks incorporating responsible AI, auditability, and continuous risk monitoring • Partner with security, compliance, legal, engineering, product, and delivery teams • Create architectural documentation, diagrams, and governance frameworks • Lead technical reviews and resolve architectural and integration issues • Advise C-suite, technical leaders, and regulatory stakeholders on sovereign AI strategy • Facilitate design workshops, discovery sessions, and technical deep-dives • Translate customer requirements into architectures and solution roadmaps • Contribute to sovereign AI thought leadership through whitepapers, presentations, and technical guidance • Mentor, coach, and develop solution and enterprise architects across locations

🎯 Requirements

• Strong demonstrated background deploying and configuring enterprise Kubernetes, including Rancher RKE2, Red Hat OpenShift, and CNCF Kubernetes • 5+ years of hands-on Linux experience • Familiarity with SLURM on Kubernetes frameworks, including Slinky and SUNK • Strong demonstrated background working with Ansible automation frameworks • Familiarity with REST APIs for product integrations • Familiarity with HPC architectures, network topologies, and high-performance storage platforms • Knowledge of NVIDIA AI Enterprise tools, specifically BCM and DCGM, for deployment and management • Regular travel required • Ability to work within the US

🏖️ Benefits

• Comprehensive benefits supporting physical, financial, and emotional wellbeing • Personal and professional development programs • Flexible work arrangements to manage work and personal needs • Inclusive workplace culture • Disability accommodations during the application or interview process