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Senior, specialized AI platform role reduces applicant density despite Bengaluru location.
Specialized AI platform and platform engineering requirements limit transferability across industries.
Explicit 10+ years plus required platform, cloud, CI/CD, and security expertise makes shortlisting strict.
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Lead architecture, engineering, and operationalization of enterprise AI platform capabilities ensuring 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 to accelerate AI adoption.
Define and implement platform engineering strategy covering CI/CD, IaC, API lifecycle, observability, security, governance, and multi-environment deployment patterns.
10+ years of experience in platform engineering, cloud architecture, DevOps/SRE, or software engineering with large-scale enterprise platform expertise.
Bachelor’s or Master’s degree in Computer Science, Data Sciences, or related fields.
Deep expertise in CI/CD, Infrastructure as Code, cloud-native architectures, API platforms, security, and automation.
Experience operationalizing AI/ML or GenAI platforms in enterprise environments.
Experienced in building and scaling foundational AI capabilities and developer enablement tools in enterprise contexts.
Strong knowledge of cloud architecture and platform engineering standards and best practices.
Capable of managing multi-stakeholder engagements and driving strategic platform engineering initiatives.