AI Platform Engineer II
GSK (company site, opens in a new tab)6+ yrsBengaluruOn-siteDirect career pageEst. 22–38 LPA
Posted 13h ago
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Job description
Structured overview of role & requirements
About This Role
- Own and ensure reliability, security, performance, and cost efficiency of significant AI platform areas operating at defined SLOs.
- Build automation, self-service, and reusable components to reduce manual operational work across AI services at enterprise scale.
- Embed governance and responsible AI controls in the platform, mentoring junior engineers and influencing platform direction and vendor standards.
Minimum Requirements
- At least 6 years running SaaS, cloud, or platform-engineering services in production, with minimum 2 years operating AI/ML or GenAI workloads or services.
- Proficient in Python plus at least one additional language (e.g. Go, TypeScript, Java).
- Hands-on experience with Kubernetes, Infrastructure-as-Code (Terraform/Bicep), GitOps, CI/CD, API/AI gateway operations, and security controls (IAM, secrets management).
- Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.
Ideal Candidate Profile
- Experienced operating and scaling AI platforms with governance, security, and SLO accountability in enterprise or large production environments.
- Technically strong in platform/cloud technologies (Azure preferred) with deep understanding of AI gateway architecture, GenAI operations, and context management for LLMs.
- Capable of influencing platform strategy, mentoring team members, and integrating AI security and responsible AI controls by design.