We are seeking a Senior 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
5+ years of experience in software engineering and AI/ML, with proven delivery of GenAI and agent-based systems in real production environments.
Experience in 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.
Skills Required
- 5+ years of experience in software engineering and AI/ML
- Proven delivery of GenAI and agent-based systems in production environments
- Expert proficiency in Python, distributed systems, APIs, and microservices
- Hands-on expertise with LLMs and agent frameworks
- Deep knowledge of RAG architectures and vector databases
Clarivate Analytics Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Clarivate Analytics and has not been reviewed or approved by Clarivate Analytics.
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Strong & Reliable Incentives — Incentives in sales and select product/tech roles provide meaningful upside for high performers, with commission structures boosting total compensation when targets are exceeded. Role-linked variable pay is a clear strength in revenue-driving positions.
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Leave & Time Off Breadth — PTO is ample in the U.S., with paid parental leave available, making time-off policies a notable part of the package. Generous vacation and holiday allowances stand out as positives.
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Wellbeing & Lifestyle Benefits — Hybrid and remote options are common and paired with a formal wellbeing framework and EAP, supporting work–life balance. Core medical, dental, and vision coverage is broadly available in the U.S., reinforcing everyday wellbeing support.
Clarivate Analytics Insights
What We Do
Clarivate™ is a global leader in providing solutions to accelerate the lifecycle of innovation. Our bold mission is to help customers solve some of the world’s most complex problems by providing actionable information and insights that reduce the time from new ideas to life-changing inventions in the areas of science and intellectual property. We help customers discover, protect and commercialize their inventions using our trusted subscription and technology-based solutions coupled with deep domain expertise. For more information, please visit clarivate.com.
