The role involves designing, architecting, and deploying advanced generative AI solutions into production environments. The individual will lead the technical direction for systems based on large language models and agentic workflows. Responsibilities include developing multi-step AI agents, establishing performance monitoring frameworks, and implementing safety guardrails. The position requires collaborating with cross-functional teams to transition projects from prototypes to full production ownership. Additionally, the role entails mentoring junior and mid-level engineers to ensure high-quality code standards.

Candidates must hold a degree in Computer Science, Data Science, Engineering, or a related field, or possess equivalent practical experience. The role requires strong expertise in transformer-based models, LLM architectures, and the deployment of generative AI systems to production. Proficiency in Python and experience with containerization, CI/CD pipelines, and cloud-native architectures are necessary. Furthermore, the position demands strong leadership capabilities to bridge the gap between rapid prototyping and scalable production deployment.