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Strong employer brand, mid-level role, metro context, and broad skill requirements raise applicant competition.
Platform operations skills transfer across industries, but AI-platform specialization adds moderate domain specificity.
Explicit 3–6 years plus mandatory observability, Linux, scripting, and ITSM skills indicate strict screening.
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Manage and support enterprise AI platforms, including in-house Generative AI platform services (Galaxy AI).
Serve as primary contact for user queries, support requests, and incident coordination to ensure operational excellence.
Maintain operational hygiene including dashboards, runbooks, documentation, audits, and health assessments to drive platform reliability.
3–6 years of experience in AI/ML platforms, application support, production operations, or technology service management.
Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
Strong technical skills in AI/GenAI platforms, APIs, cloud services; familiarity with monitoring and observability tools like Grafana, Kibana, CloudWatch, Datadog, or Splunk.
Experience with Linux environments, scripting (Python, Shell, PowerShell), incident/problem/change management, and operational governance.
Experienced in managing enterprise AI platform operations with a focus on troubleshooting, root-cause analysis, and cross-team coordination.
Proficient in monitoring production systems and driving platform improvements through operational data and governance practices.
Skilled in stakeholder management, user onboarding, access provisioning, and maintaining SLA and support best practices in a technology service environment.