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Role Description

Despite the "Engineer" title, this isn't a typical back-end coding job. This is a pre-sales and architectural advisory role for someone who is part scientist, part consultant, and part communicator. At the Staff / Principal level, you are expected to be a hybrid heavy hitter — someone who can talk shop with PhD data scientists and then walk into a boardroom and explain the ROI to a CEO.

We're building a small, global Applied AI team to work directly with enterprise customers and partners — helping them turn AI ambitions into production outcomes on Pure's platform. This team brings genuine research and production depth to customer-facing engagements:

• Leading technical advisory sessions
• Shaping AI strategy for some of the world's largest companies
• Contributing to Pure's growing reputation in AI through publications, conferences, and thought leadership

The role requires working cross-functionally across Solutions, Marketing, Alliances, Engineering, Enablement, and Sales to align initiatives and go-to-market campaigns — all while maintaining genuine technical depth in enterprise AI.

What You'll Do

• Lead technical discovery and advisory engagements with customers to identify high-value AI use cases relevant to their industry and data
• Advise on end-to-end AI deployment — model selection, training/fine-tuning strategies, inference optimization, data pipeline design, and evaluation/alignment/safety frameworks — optimized for Pure's platform
• Collaborate cross-functionally to qualify and position AI opportunities, and develop proof-of-value prototypes that translate technical performance into business outcomes
• Create AI enablement content for field teams, partners, and customers — technical walkthroughs, qualification guides, workshops, and vertical-specific use case frameworks
• Present at industry conferences, publish technical content and peer-reviewed research, and represent Pure in engagements with strategic technology partners (NVIDIA, AMD, cloud providers, MSPs)
• Operate autonomously in ambiguous environments — independently scoping high-impact initiatives and driving them to completion at the right pace

Qualifications

• Advanced degree in a quantitative field (Computer Science, Physics, Mathematics, Engineering, or related), or equivalent demonstrated through publications and production system experience
• 8+ years building and deploying AI/ML systems in cloud or on-prem 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 (PyTorch, vLLM, Ray, Kubernetes) and data platforms (Spark, Snowflake, Kafka, etc.)
• Able to scope and carry out research projects that support critical business objectives, both independently and collaboratively
• Excellent written, verbal, and presentation skills — equally clear with hands-on data scientists and C-suite decision-makers

Requirements

• Experience with large-scale AI infrastructure: GPU clusters, high-performance storage, 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
• Exposure to multiple industry verticals (financial services, healthcare, telco, manufacturing)
• Publication record, conference presentations, or recognized technical presence
• Background combining applied research with shipping production systems
• Familiarity with CRM/opportunity management systems (Salesforce preferred)

Benefits

• Flexible time off
• Wellness resources
• Company-sponsored team events

Company Description

We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.

Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.