Applied AI Engineer

Overview

Applied AI Engineer role focused on pre-sales technical advisory and architectural guidance for enterprise customers and partners. You’ll lead discovery, shape AI deployment strategy, and translate technical performance into production outcomes on Pure’s platform.

What you'll do

• Lead technical discovery and advisory engagements to identify high-value AI use cases.
• Advise on end-to-end AI deployment including model selection, training/fine-tuning, inference optimization, data pipelines, and evaluation/safety frameworks.
• Collaborate cross-functionally to qualify/position AI opportunities and build proof-of-value prototypes.
• Create AI enablement content for field teams, partners, and customers.
• Present at industry conferences, publish technical content and research, and represent the company with strategic technology partners.
• Operate autonomously by scoping high-impact initiatives and driving them to completion.

What you'll need

• 8+ years building and deploying AI/ML systems in cloud or on-prem environments.
• Advanced degree in a quantitative field or equivalent experience via publications and production system experience.
• Deep expertise in modern AI/ML including large language models, distributed training, inference optimization, agentic systems, and evaluation/alignment frameworks.
• Fluency with the AI stack including PyTorch, vLLM, Ray, and Kubernetes.
• Excellent written, verbal, and presentation skills for both technical and C-suite audiences.

Details

• Work mode: Remote (United States).
• Travel: potential 30-60%.