Systems Engineer - Senior / AI Platform Engineer // Austin ,TX // W2

Job Title:- Systems Engineer - Senior / AI Platform Engineer

Location:- Austin, Texas 4 days on-site, 5th day remote. Candidate can pick their remote day

Start Date Monday, October 12th

Duration 6 months. This position has the potential to be a contract to Schwab FTE - will need candidates who do not require Visa Sponsorship.

Proper LinkedIn

Interviews: one-hour interview, offer
W2

o TOP 3 Must Have:

Supported SaaS Deployment/AI Enterprise Platform

Monitor AI Platform (health, availability, performance)

Development skills to build reporting and dashboards to show usage and spend.

REQ Notes:

Enterprise AI Engineering Team

Enterprise Delivery Enablement Organization delivery solutions for the developer community

Productivity GitHub Copilot

Python, PowerShell, or any other programming language is sufficient

Anthropic just signed an enterprise contract with Schwab

o They will be building off

Anthropic Enterprise

OpenAI Enterprise

GitHub Copilot Enterprise

Microsoft Copilot

Azure AI Foundry

Two CTH AI platform engineers setting up AI platforms

Components SSN, Security, Desktop, etc.

Initial setup & long-term maintenance and performance

Any AI Platform or LLM will be sufficient

Experience setting up SaaS or technology platforms.

Sr. Level experience is key

Enhancements, Dashboard build, etc.

3 years of AI Experience

8 years supporting SaaS products

Position Summary

• 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.
• The ideal candidate has experience deploying enterprise SaaS platforms at scale.

Key Responsibilities

• 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.

Required Qualifications

• 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.

Navya Gupta
Sr. IT Technical Recruiter

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