Applied AI Engineer
Core
Pre-sales and architectural advisory role leading technical discovery, AI strategy shaping, and proof-of-value prototypes for enterprise customers on Pure's data storage platform.
Role type
Staff/Principal Applied AI Engineer (Pre-sales & Advisory)
Builds
Production AI outcomes, proof-of-value prototypes, and enablement content for enterprise clients
Domain
Data Storage Industry + Enterprise AI/ML
Deliverable
production ML models | product features | client delivery
Required skills
Large language models, distributed training, inference optimization, agentic systems, evaluation/alignment frameworks, classical ML, PyTorch, vLLM, Ray, Kubernetes, Spark, Snowflake, Kafka
Preferred skills
Large-scale AI infrastructure (GPU clusters, high-performance storage), customer-facing technical advisory, multi-year research leadership, multi-industry vertical exposure, publication record, CRM systems
Technologies
PyTorch, vLLM, Ray, Kubernetes, Spark, Snowflake, Kafka, NVIDIA, AMD
Responsibilities
Lead technical discovery and advisory engagements to identify high-value AI use cases; Advise on end-to-end AI deployment including model selection and data pipeline design; Collaborate cross-functionally to qualify opportunities and develop proof-of-value prototypes; Create AI enablement content for field teams and partners; Present at industry conferences and publish technical content; Operate autonomously in ambiguous environments to scope and drive high-impact initiatives
Seniority
Staff/Principal, hands-on IC with strategic advisory scope