AI Platform Engineer

Spectraforce Technologies; Austin (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

Spectraforce Technologies is seeking an Ai Platform Engineer for a 6-month engagement in Austin/Westlake. This hybrid role requires 4 days onsite weekly and responsibilities include deploying and operating enterprise AI platforms, automation, and data workflows.

The ideal candidate has 8+ years supporting enterprise tech, strong scripting skills (Python, PowerShell), and experience with IAM, SSO, Azure AD, and data pipelines. Excellent communication and stakeholder management are essential.

Qualifications

• Bachelor's degree in CS, IS, Eng or related field.
• 8+ years supporting enterprise tech platforms or SaaS products.
• 3+ years implementing or administering AI, cloud, or collaboration platforms.
• Experience deploying enterprise SaaS solutions at scale.
• Scripting and automation with Python/PowerShell or similar.
• Data extraction/transform from APIs, databases, cloud services, and enterprise systems.
• IAM, SSO, Entra ID/Azure AD, SAML/OAuth/OpenID, RBAC, Enterprise Security Controls.
• Monitoring/alerting with tools like Splunk and Grafana.
• Production support, incident management, and operational processes.
• Excellent communication and stakeholder management skills.

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, procedures, support docs, and knowledge articles.
• Drive platform lifecycle management, upgrades, feature enablement, and decommissioning.
• Define support models, SLAs, and operational metrics.
• Develop user onboarding, training, and enablement programs.
• Develop and maintain automation scripts for AI platform operations and integrations.
• Design and execute data extraction/transformation processes to support operations and analytics.

Skills

Automation scripting

Stakeholder management

Cloud platforms

Data integration

Strong communication

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Tools

Python

PowerShell

Job description

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