AI Architect

Mindlance; Dallas (TX); On-site; USD 180,000 - 230,000; Full time

Job summary

Mindlance seeks an experienced professional to lead end-to-end deployment and ongoing administration of enterprise AI platforms. You will ensure platform health, performance, and scalable operations across cloud and SaaS environments.

Responsibilities include running support processes, vendor coordination, and creating playbooks, with a focus on automation, data integration, and analytics to empower enterprise teams.

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.

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.

Skills

Scripting

IAM/SAML/OIDC

SSO

RBAC

Monitoring & alerting

Production support

Stakeholder management

Education

Bachelor's degree in Computer Science / related field

Tools

Splunk

Grafana

OpenAI Enterprise

Anthropic Enterprise

Job description

• 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)
• 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
• 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.

“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”