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.
- 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
Minimum Qualifications:
Bachelor’s Degree or equivalent in Computer Science, Software Engineering, Artificial Intelligence or related field
5+ years of experience in software engineering and AI/ML, with proven delivery of GenAI and agent-based systems in real production environments.
Job Category Summary:
Designs, builds, and delivers production-ready, AI-powered product features across applications and platforms. Focuses on end-to-end development of GenAI capabilities, including model integration, feature architecture, and scalable deployment. Translates and drives scalable, reusable AI components that accelerate product innovation and adoption.
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.