Job Description

Job Description
- 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-environment 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.

Qualified 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

Additional Information

Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the

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