- 7+ years of design, implementation, or consulting in applications and infrastructures experience
- 5+ years of management of technical, enterprise customer facing resources or equivalent experience
- 5+ years of design/implementation of production AI systems
- Hands-on experience with AWS ecosystems (including Bedrock, AgentCore, and SageMaker) to set up secure, private-network AI environments, and practical experience implementing Retrieval-Augmented Generation using embeddings, vector stores, and semantic search optimization.
- Able to effectively communicate across an increasing diversity of audiences internally and externally
- Ability to influence customer and internal business decision makers as a technical thought leader
- Cloud Technology Certification
- Experience leading and influencing your team or organization, or experience writing low level drivers
- Experience selling nascent products and services Ability to drive solutions to difficult problems
- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field, or PhD
- Proven ability to lead projects with complex challenges with extensible, operationally excellent, cost optimized, and aligned solutions outcomes
- Experience in running & fine-tuning Large and Small Language Models using advanced techniques like LoRA/QLoRA, Instruction Tuning, and RLHF to optimize for specific domain tasks.
- Expertise in architecting AI systems within highly regulated or security-sensitive environments (e.g., Financial Services, Healthcare, Public Sector).
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