Lead the design, development, and operation of scalable, enterprise-grade AI/ML architectures and systems with a strong emphasis on reliability, availability, and performance.
Lead and mentor a team of engineers, driving technical direction, code quality, and iterative delivery of large-scale solutions.
Partner closely with data scientists, engineers, product teams, and compliance to integrate AI/ML solutions into existing and new products.
Own the end-to-end lifecycle of GenAI services, including LLM inference, model serving, and proxy/gateway layers that support multiple downstream applications.
Define and uphold engineering best practices around observability, scalability, security, and cost efficiency for AI/ML platforms.
Evaluate tools, technologies, and processes to ensure the highest quality and performance of AI/ML systems.
Stay abreast of the latest advancements in AI/ML technologies and methodologies...