Remote AI Data Platform Architect

Hewlett Packard Enterprise Development LP; North Carolina; Hybrid; USD 230,000 - 320,000; Full time

Job summary

Hewlett Packard Enterprise is seeking an AI Data Platform Field Architect to lead data-first architecture for AI pipelines, spanning RAG, inference, and model training. You will engage with customers and sales to shape solutions and drive strategic AI Factory opportunities.

This remote/telework role requires strong collaboration with Product Management and enterprise teams to influence roadmaps and deliver scalable architectures across data, storage, and AI layers.

Qualifications

• 8+ years of experience in a technical presales, solutions architecture, or field CTO role.
• Strong understanding of AI/ML workflows, including Retrieval‑Augmented Generation (RAG), model inference and deployment, and model training pipelines.
• Demonstrated ability to lead architecture from data requirements and access patterns rather than infrastructure‑first design approaches.
• Map and optimize end‑to‑end data flow across the AI lifecycle, from ingestion through retrieval to model interaction and feedback loops.
• Proven experience working with Product Management and solution teams to define, develop, and extend AI Factory offerings, including contributing to reference architectures and influencing product direction and roadmap priorities.

Responsibilities

• Lead architecture discussions starting from data characteristics and lifecycle, including data volume, velocity, and distribution; structured vs. unstructured data considerations; data locality, gravity, and movement patterns.
• Design AI solutions by optimizing data access patterns, AI pipelines for data movement efficiency, and bottleneck reduction between storage, compute, and model layers.
• Recommend design optimizations and improvements for performance, cost efficiency, reliability, and trustworthiness.
• Evaluate how data design decisions impact model performance and accuracy, latency, GPU utilization, ingest requirements, and cost efficiency.
• Lead technical discovery sessions with enterprise customers to identify and qualify AI Factory opportunities and translate business objectives into scalable AI architectures.

Skills

8+ years presales/solutions-arch

AI/ML workflows (RAG)

Data-first architecture

Data pipelines & storage concepts

PM collaboration & roadmaps

GPU-based AI/workload sizing

Cloud & hybrid AI infra

Tools

PyTorch

TensorFlow

Vector databases

Object storage (S3)

GPU infrastructure tooling

Job description

Hewlett Packard Enterprise is seeking an AI Data Platform Field Architect to lead data-first architecture for AI pipelines, spanning RAG, inference, and model training. You will engage with customers and sales to shape solutions and drive strategic AI Factory opportunities.

This remote/telework role requires strong collaboration with Product Management and enterprise teams to influence roadmaps and deliver scalable architectures across data, storage, and AI layers.