Senior Enterprise Architect - AI & Platform Governance

TEEMA

Charlotte (NC)

Hybrid

USD 165,000 - 185,000

Full time

14 days+

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Job summary

TEEMA in Charlotte, North Carolina, seeks a Senior Enterprise Architect to define and govern enterprise-wide architecture across applications, data, integrations, cloud technologies, and AI initiatives. This hands-on leadership role will devote 40–60% of effort to AI initiatives, including agentic automation, while aligning technology with the organization’s long-term roadmap.

The Architect will establish standards, guardrails, and governance across platforms, data, and AI-enabled solutions,

Qualifications

  • Senior-level enterprise architecture experience across multiple technology domains.
  • Strong hands-on technical expertise and the ability to lead architecture decisions.
  • Experience establishing architecture standards, governance models, and reference architectures.
  • Experience incorporating AI, automation, or analytics into enterprise technology environments.

Responsibilities

  • Define and maintain enterprise architecture across application, data, integration, cloud, and platform domains.
  • Establish enterprise architecture principles, standards, reference architectures, and reusable design patterns.
  • Ensure consistent adoption of enterprise patterns across technology initiatives.
  • Integrate AI, agentic automation, analytics, and related capabilities into the broader enterprise architecture.
  • Guide solution architects and engineering teams through complex architecture and technology decisions.
  • Define shared platform capabilities that improve scalability, consistency, and reuse.

Skills

Enterprise architecture
Leadership
AI integration
Cross-domain governance

Job description

TEEMA in Charlotte, North Carolina, seeks a Senior Enterprise Architect to define and govern enterprise-wide architecture across applications, data, integrations, cloud technologies, and AI initiatives. This hands-on leadership role will devote 40–60% of effort to AI initiatives, including agentic automation, while aligning technology with the organization’s long-term roadmap.

The Architect will establish standards, guardrails, and governance across platforms, data, and AI-enabled solutions,

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