Lead the architecture, engineering, and operationalization of enterprise AI platform capabilities, enabling secure, scalable, and reusable AI services across the organization.
Own the productization of foundational AI capabilities including AI Gateway, Semantic Layer, Agentic Harness, CLI tooling, and integration frameworks to accelerate AI solution delivery and adoption.

Key Responsibilities
Define and implement the platform engineering strategy for AI services, including CI/CD, IaC, API lifecycle management, observability, security, governance, and multi-workplace deployment patterns.
Architect, build, and scale foundational AI capabilities (e.g., Semantic Layer, Agentic Harness, AI Gateway, orchestration frameworks, reusable SDKs/CLI tools) while establishing standards, reference architectures, and engineering best practices across teams. Qualifications

Educational Background:
Bachelor s or Master s degree in Computer Science, Data Sciences, or related fields.

Skilled Background:




10+ years of experience in platform engineering, cloud architecture, DevOps/SRE, or software engineering, with demonstrated expertise in building large-scale enterprise platforms and developer enablement capabilities.
Deep expertise in CI/CD, Infrastructure as Code, cloud-native architectures, API platforms, security, and automation, with experience operationalizing AI/ML or GenAI platforms and services in enterprise environments.

Preferred Skills:
Certifications in Cloud Architecture
Experience with Agentic frameworks
Excellent communication and stakeholder management skills

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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