Senior Enterprise AI Architect & Platform Lead

Digitailor

Tulsa (OK)

Sur place

USD 140 000 - 200 000

Plein temps

Il y a 2 jours
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Résumé du poste

Digitailor seeks a Senior Solution Architect to own the enterprise AI architecture in a HIPAA-regulated healthcare setting. You’ll define architectures, governance, and integration patterns while mentoring engineering teams and guiding AI initiatives from concept to production.

You will lead the evaluation and adoption of AI platforms, ensure security and regulatory compliance, and drive scalable, cost-conscious solutions across data, models, and applications.

Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience.
  • 8+ years of progressive experience in solution/enterprise architecture, software, data, or engineering roles.
  • Experience delivering AI/ML or generative AI in production environments, with HIPAA familiarity.
  • Ability to translate strategy and complex concepts for technical and non-technical audiences.

Responsabilités

  • Define and maintain enterprise AI architecture standards and patterns across models, data, and integrations.
  • Lead evaluation, selection, and adoption of AI platforms and services balancing capability, cost, and compliance.
  • Provide technical direction and mentorship to engineers, and drive secure SDLC for AI/ML solutions.
  • Partner with governance and security teams to align AI practices with HIPAA and regulatory requirements.

Connaissances

Enterprise architecture
AI integration
APIs
Data architecture
Security
Cloud design

Formation

Bachelor’s degree in CS/IS/Engineering or equivalent
Advanced degree preferred

Outils

Azure DevOps
GitHub Actions
Azure OpenAI
Cognitive Services

Description du poste

Digitailor seeks a Senior Solution Architect to own the enterprise AI architecture in a HIPAA-regulated healthcare setting. You’ll define architectures, governance, and integration patterns while mentoring engineering teams and guiding AI initiatives from concept to production.

You will lead the evaluation and adoption of AI platforms, ensure security and regulatory compliance, and drive scalable, cost-conscious solutions across data, models, and applications.

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