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Medium: metro Bangalore location and common architect title, but seniority and niche AI/data domain reduce density.
Medium: Core architecture and cloud skills transfer, but chemistry and scientific-data expertise are strongly preferred.
High: Requires deep architecture, AI/ML, knowledge-graph, cloud, and governance expertise.
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Own and evolve the technology strategy and architectural roadmap for Reaxys and the broader Chemistry Solutions domain aligned to business goals and enterprise standards.
Lead design governance and provide consultancy to ensure solutions are scalable, secure, maintainable, and cost-effective in chemistry research, data, and AI applications.
Drive AI and data innovation by applying generative AI, large language models, knowledge graphs, and cloud-native platforms to chemistry data and discovery use cases.
Significant experience in software, network, or systems architecture with strong knowledge of architectural design, patterns, and governance.
Practical, current experience applying AI/ML technologies including generative AI, large language models, and natural language processing at scale.
Solid working knowledge of cloud-native architectures (AWS, Azure or GCP), microservices, APIs, large-scale data platforms, knowledge graphs, and modern ML engineering practices like CI/CD and containerization.
Work Experience Required: Not explicitly mentioned in the JD.
Experience operating in global, matrixed technology environments with complex projects involving cross-functional stakeholder engagement and influence.
Technical background or strong interest in chemistry, life sciences, or scientific data to align domain architectural decisions with research needs.
Strategic mindset focusing on evolving technical roadmaps and integrating emerging technologies in AI and data to advance domain capabilities.