Applied AI Engineer
New
E
EverpureData storage
Remote, United StatesFull-TimeStaff
Salary171,500 - 257,600 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- 8+ years
- Required Skills
- KafkaKubernetesPyTorchSalesforceSnowflakeSparkLLM
Requirements
- 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
- 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)
Responsibilities
- 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
View Full Description & ApplyYou'll be redirected to the employer's site
