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Strong Tier-1 brand, metro location, and broad solution-architect title increase applicant density.
Specialized chemistry domain knowledge is preferred, though core ML and architecture skills remain transferable.
No explicit years but requires deep AI/ML, cloud and architecture expertise, making filters moderately strict.
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Own and evolve the technical architecture and roadmap of the Chemistry Solutions domain, centered on Reaxys, aligning with business goals and enterprise standards.
Lead AI and data innovation initiatives applying generative AI, large language models, knowledge graphs, and cloud-native platforms to chemistry research use cases.
Provide architectural design governance, monitor domain health, embed security/compliance practices, and lead cross-functional troubleshooting efforts.
Significant experience in software, network, or systems architecture including design, patterns, and governance.
Practical, current experience in AI/ML technologies such as generative AI, large language models, NLP, and data mining at scale.
Working knowledge of cloud-native architectures (AWS/Azure/GCP), microservices, large-scale data platforms, knowledge graphs, semantic search, and modern ML engineering practices (CI/CD, containerization, MLOps).
Work Experience Required: Not explicitly mentioned in the JD.
Experienced architect familiar with complex technology projects in global, matrixed environments with strong stakeholder engagement skills.
Strong technical leadership in integrating AI/ML innovations with large-scale data and cloud architectures tailored for chemistry or life sciences domains.
Background or genuine interest in chemistry, life sciences, or scientific data to effectively bridge domain knowledge and technology solutions.