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Senior, specialized AI platform role in Bangalore reduces applicant density despite strong brand.
Platform and cloud skills transfer across industries, but AI platform specialization raises domain sensitivity to medium.
Explicit 10+ years and mandatory platform/DevOps expertise make shortlisting highly strict.
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Lead architecture and operationalization of enterprise AI platform capabilities ensuring security, scalability, and reusability.
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.
10+ years of experience in platform engineering, cloud architecture, DevOps/SRE, or software engineering with 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 with experience in operationalizing AI/ML or GenAI enterprise platforms.
Not explicitly mentioned: Notice period and specific location requirements.
Experienced in building and scaling large-scale, secure, and reusable enterprise AI/ML platforms and developer enablement capabilities.
Strong skills in defining platform engineering strategies particularly in CI/CD, IaC, API management, and multi-environment deployments.
Familiarity with Agentic frameworks and cloud architecture certifications preferred for strategic fit and stakeholder communication.