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Metro location and recognizable global brand increase applicant density, but senior specialization reduces competition.
Role requires specialized AI platform and cloud DevOps expertise, limiting cross-industry transferability.
Explicit 10+ years and mandatory platform/AI operationalization experience enforce strict filtering.
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Lead architecture and engineering of enterprise AI platform capabilities to deliver secure, scalable, and reusable AI services.
Own productization of foundational AI capabilities such as AI Gateway, Semantic Layer, Agentic Harness, CLI tooling, and integration frameworks.
Define and implement platform engineering strategy including CI/CD, IaC, API lifecycle, security, governance, and multi-environment deployment patterns.
Bachelor’s or Master’s degree in Computer Science, Data Sciences, or related fields.
10+ years experience in platform engineering, cloud architecture, DevOps/SRE, or software engineering with enterprise platform focus.
Demonstrated expertise in CI/CD, Infrastructure as Code, cloud-native architectures, API platforms, and operationalizing AI/ML or GenAI platforms.
Not explicitly mentioned: notice period or location requirements.
Experienced in building and scaling large-scale AI enterprise platforms with reusable SDKs and tooling.
Strong background in cloud architecture and automation with certifications preferred.
Ability to define platform standards and best practices and manage stakeholder communications effectively.