AI Data Platform Field Architect

2 days ago

Remote, Worldwide or Helsinki, FinlandSenior

Responsibilities

Lead data-centric AI architecture discussions covering data volume, velocity, distribution, structure, locality, movement, metadata, indexing, and retrieval.
Design and optimize AI pipelines, data access patterns, ingestion, storage, retrieval, GPU utilization, latency, throughput, reliability, and cost efficiency.
Lead enterprise customer discovery, translate business objectives into scalable AI architectures, advise executive and technical stakeholders, and drive deal progression.
Scope and size AI Factory environments using GPU configurations, data volumes, throughput requirements, and RAG, inference, and training workloads.
Position X10K data platforms, S3 object-storage architectures, data pipelines, vector databases, and AI frameworks for customer-specific requirements.
Partner with Product Management to influence roadmap priorities and provide structured feedback on customer needs, product gaps, and competitive dynamics.
Create technical content including reference architectures, design patterns, whitepapers, conference talks, and publications.

8+ years of experience in technical presales, solutions architecture, or field CTO roles.
Strong understanding of AI/ML workflows including Retrieval-Augmented Generation, model inference, and deployment; model-training pipeline experience is desirable.
Experience designing data-centric architectures and optimizing end-to-end data flow from ingestion through retrieval, model interaction, and feedback loops.
Experience defining, developing, or extending AI Factory offerings, contributing to reference architectures, and influencing product roadmaps.
Experience sizing and designing GPU-based environments and working with AI/ML or data engineering teams.
Solid understanding of data pipelines, data lakes, object storage, and large-scale data-access performance.
Ability to evaluate solution fit and balance workload requirements, scale, performance, cost, and complexity.
Proven ability to lead customer discovery and translate requirements into technical solutions for technical and executive audiences.
Preferred experience includes HPC or distributed computing, PyTorch, TensorFlow, vector databases, cloud and hybrid AI infrastructure, storage technologies, and product strategy collaboration.

Remote/teleworker arrangement with primary work from home.
Comprehensive health, financial, and emotional wellbeing benefits for employees and loved ones.
Personal and professional development programs supporting career growth and subject-matter expertise.
Inclusive workplace culture and equal-opportunity employment practices.

PyTorchTensorFlow

5,001-10,000 employees

HPE Aruba Networking designs and delivers Mobility-Defined Networks that empower a new generation of tech-savvy users.