Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Austin, TX, United States
Posted
Yesterday
OAuthSAMLSSOSplunkAzureGrafanaPowerShellPython
Job Description
Role: Sr. Systems Engineer/AI Platform Engineer
Location: Austin, TX ( Hybrid 4 days/week)
Duration: 6+ month
Seeking a technically skilled AI Platform Engineer to stand up and manage enterprise AI capabilities across platforms like Anthropic, OpenAI, and other emerging AI tech. Owns end-to-end deployment, ops support, and lifecycle mgmt of enterprise AI platforms.
What you'll do:
- Lead end-to-end deployment of enterprise AI platforms and services
- Own day-to-day admin and ops support of AI platforms
- Monitor platform health, availability, performance, and usage trends
- Manage vendor escalations and coordinate issue resolution
- Develop runbooks, ops procedures, and support docs
- Drive platform lifecycle mgmt, upgrades, and decommissioning
- Define support models, SLOs, and operational metrics
- Develop user onboarding and enablement programs
- Build automation scripts for AI platform ops and integrations
- Design data pipelines from enterprise systems, APIs, and cloud platforms
What we're looking for:
- Bachelor's in CS, Information Systems, Engineering, or related field
- 8+ yrs exp supporting enterprise tech platforms or SaaS products
- 3+ yrs exp implementing/administering AI, cloud, or collab platforms
- Exp deploying enterprise SaaS solutions at scale
- Strong scripting/automation exp (Python, PowerShell, or similar)
- Exp extracting/analyzing data from APIs, DBs, and cloud systems
- Strong knowledge of IAM, SSO, Entra ID/Azure AD, SAML/OAuth/OIDC, RBAC
- Exp with Splunk, Grafana, or similar monitoring tools
- Exp with production support and incident mgmt
- Anthropic, OpenAI, GitHub Copilot, MS Copilot, or Azure AI Foundry exp a plus
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