Data & AI Adoption Lead

Leading the technical strategy and implementation of AI/HPC solutions, this role combines deep technical expertise with strategic business acumen to drive end-to-end AI initiatives. The ideal candidate will bridge the gap between cutting-edge AI technologies and practical business applications.

Key Responsibilities

1. Design and implement 4-6 new AI infrastructure solutions per year
2. Performance improvement metrics for implemented solutions (20%+ improvement)
3. Cost optimization achievements (15-20% reduction in infrastructure costs)
4. New revenue generated from new AI solutions/products
5. Number of new technology evaluations completed (6-8 per year)
6. Successful POCs developed and implemented (4-5 annually)
7. Technology adoption rate by customers (>70% target)

Skills

Technical:

1. Design scalable AI/HPC infrastructure solutions and build industry-focused use cases
2. Lead GPU/accelerator selection and architecture decisions
3. Develop vendor-neutral, future-proof technical standards
4. Optimize cost for AI/HPC workloads/platforms for both training and inference workloads
5. Evaluate emerging AI technologies (NVIDIA, Groq, Cerebras, etc.) and build roadmap to drive AI adoption

Business:

1. Create AI infrastructure roadmap and implementation strategy
2. Develop pricing models and technical specifications
3. Drive business development, customer engagement, AI product development, and go-to-market strategy
4. Identify new market opportunities and use cases