Applied AI Engineer
Pure StorageLocation not specified
Full Time
Posted March 9, 2026
$172k - $258k
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Application opens on company website
Job Description
This role involves providing technical advisory and strategic guidance on AI and machine learning deployment for enterprise customers, combining deep technical expertise with business acumen to shape AI strategies, develop proof-of-value prototypes, and lead high-impact initiatives across diverse industries.
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 such as technical walkthroughs, qualification guides, workshops, and use case frameworks.
- Present at industry conferences, publish technical content, and represent the company in strategic technology partnerships.
- Operate autonomously to scope and drive high-impact AI initiatives to completion.
Requirements
- An advanced degree in a quantitative field such as Computer Science, Physics, Mathematics, Engineering, 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.
- 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 including 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.
- Publication record, conference presentations, or recognized technical presence in the field.
- Background combining applied research with shipping production systems.
- Familiarity with CRM opportunity management systems such as Salesforce.
- Willingness and ability to operate autonomously in ambiguous environments, independently scoping high-impact initiatives and driving them to completion.
- Ability to work cross-functionally across Solutions, Marketing, Alliances, Engineering, Enablement, and Sales to align initiatives and go-to-market campaigns.
Benefits & Perks
Salary range: 171,500 - 257,600 USD annually
Potential for incentive pay and/or equity
Flexible time off
Wellness resources
Company-sponsored team events
Ready to Apply?
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