AI Platform Engineer

Job Title: Ai Platform Engineer

Duration: 6 Months (possibility of conversion or extension)

Location: Austin or Westlake (Hybrid 4 days onsite in every week)

Job Description:

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.

Pluses

prev financial domain/ platform exp is a HIGE plus

Skills they will be looking for:

Understand the foundation of AI

Working with agents, prompting, token costs

Exp with platform managing

Authenticate and enable access to different models

Create reporting/ use capabilities