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Metro location and known employer increase competition, but senior domain specialization reduces applicant density.
Requires chemistry domain plus data/AI skills, so background transferability is moderately constrained.
Strong architecture, AI/data, cloud and knowledge-graph requirements enforce strict technical shortlisting.
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Own and evolve the technology strategy and roadmap for Chemistry Solutions, centered on Reaxys, aligning with business goals and enterprise standards.
Drive AI and data innovation by applying generative AI, large language models, machine learning, and knowledge graph technologies to chemistry research and data use cases.
Provide architectural governance, lead troubleshooting, monitor domain health, and embed security and compliance practices for the Chemistry Domain.
Significant experience in software, network, or systems architecture with strong architectural design and governance skills.
Practical, current experience applying AI/ML technologies including generative AI and large language models at scale.
Solid knowledge of cloud-native architectures (AWS, Azure, or GCP), microservices, large-scale data platforms, knowledge graphs, and modern data/ML engineering practices (CI/CD, infrastructure-as-code, containerisation, MLOps).
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in leading complex technology projects in global, matrixed environments with ability to engage and influence diverse stakeholders.
Strong domain interest or background in chemistry, life sciences, or scientific data to align technology solutions with research needs.
Skilled in communicating complex technical concepts to both technical and non-technical audiences and promoting engineering best practices.