Senior Private Cloud AI Engineer

Platform Engineering & Development

• Design, develop, and enhance components of the HPE Private Cloud AI platform.
• Build automation, tooling, APIs, and workflows that improve deployment, operations, monitoring, and lifecycle management.
• Contribute to Kubernetes-based platform services and cloud-native capabilities.
• Participate in architecture reviews, design discussions, and technical roadmap planning.

AI Platform Enablement

• Support integration of AI technologies into the platform.
• Enable workloads leveraging Large Language Models (LLMs), Retrieval Augmented Generation (RAG), model serving frameworks, and MLOps tools.
• Evaluate and integrate emerging AI technologies, frameworks, and development tools.
• Assist in testing, validating, and operationalizing AI workloads on enterprise infrastructure.

Infrastructure & Systems Integration

• Collaborate across compute, networking, storage, virtualization, and operating system domains to deliver end-to-end solutions.
• Assist with platform integration, deployment validation, performance tuning, and troubleshooting.
• Identify and resolve system-level issues spanning hardware, infrastructure, platform software, and applications.
• Contribute to infrastructure automation and operational efficiency initiatives.

Customer & Solution Engineering

• Partner with product management, support, field engineering, and customer teams to address real-world deployment challenges.
• Investigate customer-reported issues, identify root causes, and drive resolution across engineering teams.
• Support proof-of-concepts, reference architectures, and customer adoption initiatives.
• Translate customer feedback into actionable product and engineering improvements.

Continuous Improvement & Innovation

• Identify opportunities to simplify deployment, improve reliability, and enhance customer experience.
• Participate in performance, scalability, reliability, and operational readiness activities.
• Contribute to documentation, best practices, and knowledge sharing across the organization.
  • Stay current on cloud, infrastructure, AI, and automation technologies relevant to HPE's AI strategy.