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  3. Applied AI Engineer EMEA
Pure Storage logo

Applied AI Engineer EMEA

Pure Storage
London, United Kingdom
Full Time
Posted February 24, 2026
Not Specified
~100 people viewed this recently
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Application opens on company website

Job Description

This role involves providing technical advisory and strategic guidance on AI deployment for enterprise clients, combining deep technical expertise in AI/ML systems with business acumen, to help turn AI ambitions into production outcomes while collaborating across multiple teams and representing the company at industry events.

Key Responsibilities

  • Lead technical discovery and advisory engagements with customers to identify high-value AI use cases
  • Advise on AI deployment models, training strategies, inference optimization, data pipeline design, and safety frameworks
  • Collaborate cross-functionally to qualify and position AI opportunities and develop proof-of-value prototypes
  • Create AI enablement content for field teams, partners, and customers, including technical walkthroughs and use case frameworks
  • Present at industry conferences, publish technical content, and represent the company in strategic technology engagements
  • Operate autonomously to scope and drive high-impact AI initiatives to completion

Requirements

  • Advanced degree in a quantitative field such as Computer Science, Physics, Mathematics, Engineering, or related, or equivalent demonstrated through publications and production system experience.
  • At least 8 years of experience building and deploying AI/ML systems in cloud or on-premises environments.
  • Deep expertise in modern AI/ML large language models, distributed training, inference optimization, agentic systems, evaluation alignment frameworks, and classical ML.
  • Fluency with the modern AI stack including PyTorch, vLLM, Ray, Kubernetes, and data platforms such as Spark, Snowflake, Kafka, etc.
  • Ability to scope and carry out research projects that support critical business objectives, both independently and collaboratively.
  • Excellent written, verbal, and presentation skills, with the ability to communicate clearly with hands-on data scientists and C-suite decision-makers.
  • Experience with large-scale AI infrastructure such as GPU clusters, high-performance storage, and containerized deployments.
  • Experience in customer-facing technical advisory or consulting roles with enterprise accounts.
  • Experience leading independent, multi-year research from concept to publication or large-scale production deployment.
  • Familiarity with CRM opportunity management systems such as Salesforce.
  • Ability to operate autonomously in ambiguous environments, independently scoping high-impact initiatives and driving them to completion at the right pace.

Benefits & Perks

Flexible time off
Wellness resources
Company-sponsored team events

Ready to Apply?

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