engineers, making build-vs-buy decisions and technology stack selections. Develop technical roadmaps balancing innovation, scalability, security, and time-to-value. Drive AI/ML Product Development: Own end-to-end product lifecycle for GenAI applications leveraging LLMs, RAG architectures, Agentic frameworks, and multi-modal AI systems. Translate business requirements … into technical specifications, API contracts, data schemas, and system integration patterns. Guide model selection, evaluation criteria, and deployment strategies for ML models in production environments. Champion MLOps practices including model versioning, monitoring, performance tracking, and continuous improvement loops. Manage Complex Data Platform Initiatives: Lead product planning for data lake/ ...