Applied AI Engineer EMEA
Pure StorageLondon, United Kingdom
Full Time
Posted February 24, 2026
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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
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