This role involves providing technical advisory and strategic guidance on AI deployment for enterprise clients, combining deep technical expertise with business acumen to drive AI solutions from concept to production, while collaborating across teams and representing the company in industry forums.
Key Responsibilities
Lead technical discovery and advisory engagements with customers to identify high-value AI use cases.
Advise on end-to-end 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
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-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 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, equally clear 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
Exposure to multiple industry verticals such as financial services, healthcare, telecommunications, manufacturing
Publication record, conference presentations, or recognized technical presence
Background combining applied research with shipping production systems
Familiarity with CRM opportunity management systems such as Salesforce
Benefits & Perks
Flexible time off
Wellness resources
Company-sponsored team events
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