- Define AI system architecture aligned to business objectives and long-term scalability.
- Lead design and implementation of ML systems, model services, and inference pipelines.
- Establish LLMOps best practices including CI/CD, prompt versioning, and real-time model observability.
- Bridge research and engineering by operationalizing prototypes into production-ready systems.
- Mentor junior and mid-level AI engineers and lead code reviews.
- Partner with product, engineering, and executive stakeholders to shape AI roadmaps.