About the Role:We are looking for an accomplished Director of Data Engineering, AI & Full Stack Engineering to lead the technology vision, architecture, and execution of data-intensive and AI-powered products.This is a senior engineering leadership position for an experienced technology leader who can operate across Data Engineering, Artificial Intelligence, Backend, Full Stack Development, Cloud, and Product Engineering.Key Responsibilities:- Define and execute the engineering strategy across Data Engineering, AI/ML, Backend, and Full Stack product development.- Lead the architecture and development of scalable, cloud-native data platforms and AI-powered product capabilities.- Drive the adoption of Generative AI, LLMs, Agentic AI, RAG, AI-powered automation, and intelligent product experiences.- Own the design of enterprise-grade data architectures supporting high-volume structured and unstructured data.- Build and scale modern data engineering platforms covering batch processing, streaming, data integration, data modeling, data quality, governance, and observability.- Lead the development of AI/ML platforms and production-grade machine learning pipelines in partnership with Data Science and AI teams.- Drive MLOps practices covering model deployment, inference, monitoring, governance, experimentation, and continuous improvement.- Oversee development of backend and full-stack applications that consume data and AI capabilities.- Establish scalable API, microservices, event-driven, and distributed system architectures.- Drive engineering standards around architecture, coding practices, testing, security, performance, reliability,



and maintainability.- Partner closely with Product, Design, Data Science, Analytics, Security, and Business leadership to translate product strategy into technology roadmaps.- Build, mentor, and scale high-performing engineering teams across multiple technical disciplines.Required Skills & Experience :- 15 - 20 years of experience in software engineering, data engineering, AI/ML engineering, or product technology leadership.- Strong experience leading large-scale engineering organizations and complex product development initiatives.- Deep understanding of modern data engineering, distributed systems, cloud platforms, and software architecture.- Strong hands-on understanding of AI/ML, Generative AI, LLMs, RAG, Agentic AI, and AI application architectures.- Strong experience with Python, SQL, distributed processing, data platforms, and modern engineering practices.- Solid backend and full-stack engineering understanding with experience in APIs, microservices, databases, and cloud-native applications.- Experience designing and scaling highly available, secure, and performance-sensitive systems.- Strong understanding of DevOps, CI/CD, observability, infrastructure automation, and production engineering.Preferred Qualifications :- Experience building technology products for SaaS, Enterprise Software, FinTech, HealthTech, E-commerce, or other technology-driven product organizations.- Experience taking AI/ML products from concept and experimentation through production and large-scale adoption.- Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related discipline is desirable. (ref:hirist.tech)

📌 Clarivate - Director - Data Full Stack (Bengaluru)
🏢 Clarivate
📍 Bengaluru