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Senior niche AI platform role with specialized requirements limits qualified applicants despite metro location.
AI platform, cloud, and Kubernetes skills transfer across industries but favor ML-focused candidates.
Explicit 10–12 years plus mandatory architecture, cloud, AI, and DevOps skills increase shortlisting strictness.
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Lead design and architecture of a scalable, maintainable AI Innovation Platform supporting engineering teams across Syngenta.
Collaborate with product managers, designers, and engineering teams to define best practices, guide technical decisions, and ensure quality and performance of the AI platform.
Stay updated on AI trends, evaluate emerging technologies, and integrate appropriate AI (LLM or otherwise) solutions into platform architecture.
10–12 years experience in design and development with strong Object-Oriented Programming fundamentals.
Hands-on experience with design patterns, Domain-Driven Design, microservices, serverless architectures, Docker, and Kubernetes.
Proficiency in AWS cloud platform and knowledge of SQL and NoSQL databases (PostgreSQL, MySQL, Redis, MongoDB, DynamoDB).
Work Experience Required: 10–12 years as explicitly mentioned in the JD.
Experienced Staff Engineer or Architect with hands-on implementation of AI-based solutions (LLM preferred).
Strong expertise in scalable cloud architectures (especially AWS), microservices, container orchestration, and CI/CD automation.
Capable of engaging stakeholders across technical and senior leadership levels, translating complex AI/architecture concepts for diverse audiences and business needs.