AI Platform Engineer
Mindlance
Austin, TX, United States
1 day ago
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Role details
Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Data Analysis
Software as a Service
Cloud Computing
Collaborative Software
Information Systems
Databases
Data Mining
Identity and Access Management
Python (Programming Language)
Nagios
+20 more
OAuth
Windows PowerShell
Role-Based Access Control
Openid Connect
OpenAI
Azure Active Directory
Cloud Services
Microsoft Copilot
Security Assertion Markup Language (SAML)
Single Sign-On
Software Deployment
Systems Integration
Enterprise Software Applications
GitHub Copilot
Grafana
AI Platforms
Infrastructure Automation Frameworks
Information Technology
Splunk
Data Pipelines
Job description
We are seeking a highly motivated and technically skilled AI Platform Engineer who will be responsible for standing up and managing AI capabilities for platforms such as Anthropic, OpenAI, and other emerging AI technologies across the enterprise., * Lead end-to-end deployment of enterprise AI platforms and services.
- Own day-to-day administration and operational support of AI platforms.
- Monitor platform health, availability, performance, and usage trends.
- Manage vendor escalations and coordinate resolution of platform issues.
- Develop runbooks, operational procedures, support documentation, and knowledge articles.
- Drive platform lifecycle management, upgrades, feature enablement, and decommissioning activities.
- Define support models, service level objectives, and operational metrics.
- Develop user onboarding, training, and enablement programs.
- Develop and maintain automation scripts to streamline AI platform operations, infrastructure provisioning, system integrations, and operational workflows.
- Design and execute data extraction and transformation processes from enterprise systems, APIs, databases, and cloud platforms to support AI platform operations, reporting, and analytics.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
- 8+ years of experience supporting enterprise technology platforms or SaaS products.
- 3+ years of experience implementing or administering AI, cloud, or collaboration platforms.
- Experience deploying enterprise SaaS solutions at scale.
- Strong scripting and automation experience using languages such as Python, PowerShell, or similar for infrastructure management, system integration, and process automation.
- Experience extracting, transforming, and analyzing data from APIs, databases, cloud services, and enterprise systems, including creating reusable data pipelines and reports.
Strong knowledge of:
- Identity and Access Management (IAM)
- Single Sign-On (SSO)
- Entra ID / Azure AD
- SAML, OAuth, and OpenID Connect
- Role-Based Access Control (RBAC)
- Enterprise Security Controls
- Experience with monitoring and alerting tools and analysis such as Splunk and Grafana
- Experience managing production support, incident management, and operational processes.
- Excellent communication and stakeholder management skills.
Preferred Qualifications
- Experience implementing or administering:
- Anthropic Enterprise
- OpenAI Enterprise
- GitHub Copilot Enterprise
- Microsoft Copilot
- Azure AI Foundry
- Experience with AI governance, compliance, and model management.
- Familiarity with FinOps, cost management, budgeting, and usage analytics.
- Knowledge of software deployment and enterprise application management practices.
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