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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
Apply Now

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?

Join Pure Storage and make an impact in renewable energy

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