We are seeking a Lead Product Development Engineer – Generative & Agentic AI to define, architect, and deliver next-generation GenAI and agentic AI–powered product platforms that drive measurable business and customer impact. This role is designed for highly experienced engineers who have successfully led complex, production-grade GenAI and agentic AI systems and who operate as both a technical authority and a strategic product partner across the organization.
In this role, you will own the architecture and evolution of GenAI, agentic AI, and Model Context Protocol (MCP)–based systems. You will shape the AI roadmap, mentor senior engineers, and ensure that AI capabilities are scalable, secure, cost-efficient, and responsibly deployed across multiple product lines.
About You – experience, education, skills, and accomplishments
7 years of experience in software engineering and AI/ML, with proven delivery of GenAI and agent-based systems in real production environments.
Strong leadership experience building and scaling large, enterprise-grade GenAI solutions embedded into products.
Expert proficiency in Python, distributed systems, APIs, microservices and overall system design.
Hands-on expertise with LLMs, agent frameworks (LangChain, AutoGen, CrewAI, LlamaIndex, etc.), and agent orchestration patterns.
Deep knowledge of RAG architectures, embeddings, vector databases (FAISS, Pinecone, Milvus, Weaviate), and advanced retrieval and evaluation techniques.
It would be great if you also have:
Experience leading AI copilots, agentic platforms, or multi-product agent-based systems.
Familiarity with Model Context Protocol (MCP) and context standardization approaches.
Familiarity with AI governance frameworks, compliance, and regulated environments.
Contributions to internal AI platforms, open-source projects, or industry thought leadership
What will you be doing in this role:
Define and drive the technical vision for GenAI, agentic AI and MCP-based capabilities across multiple product lines.
Lead prompt engineering, memory management and MCP-based context orchestration for scalable AI systems.
Design and optimize RAG, enterprise knowledge and MCP-backed context platforms, including secure data ingestion and governance.
Guide the integration of GenAI and agentic AI features into core products, APIs and enterprise platforms.
Drive production readiness covering reliability, observability, performance, and responsible / safe agent behaviour.
What You’ll Build
Company-wide GenAI, Agentic AI, and MCP-based product platforms
Scalable RAG, agent orchestration, and context management frameworks
Enterprise standards for AI quality, safety, and reliability
A strong technical leadership bench for the next generation of GenAI engineers
At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.