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# Enterprise AI Principal Architect

- **Company:** TEKSYSTEMS INC.
- **Location:** Charlotte, NC, United States (Remote available)
- **Experience:** Expert
- **Salary:** $152,631.0 - $193,316.0
- **Contract:** Temporary to permanent
- **Skills:** Artificial Intelligence, Computing Platforms, Microsoft Azure, Cloud Engineering, Code Generation, Cursor, Distributed Systems, Event-Driven Programming, OpenAI, Service-Oriented Architecture, Software Engineering, Cloud Platform System, GitHub Copilot, Large Language Models, Technical Debt, Agentic-AI, Claude, Azure AI, Legacy Systems, Microservices
- **Published:** October 18, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/nc/charlotte/8f39058d-77c3-4363-a866-e9ed43f980ee

## About the Role

· 10+ years of software engineering and architecture experience.

· 7+ years leading enterprise architecture, platform architecture, or principal architecture initiatives.

· Demonstrated success defining architecture strategy for large-scale enterprise platforms.

· Experience leading cloud-native modernization efforts.

· Experience establishing architecture governance and standards across multiple engineering teams.

· Strong background in distributed systems and microservices architecture.

AI Transformation

· Establish standards for spec-driven development and AI-assisted software delivery.

· Implement governance around LLM usage, agentic workflows, code generation, testing, validation, and security.

· Drive adoption of AI engineering tools such as Claude, Cursor, GitHub Copilot, OpenAI, Azure AI, and emerging agent platforms.

· Create architecture patterns for AI-powered features.

· Develop frameworks for responsible, secure, and scalable AI implementation.

Platform Modernization

· Guide migration toward modern cloud-native architectures.

· Improve reliability, resiliency, observability, and operational readiness.

· Define event-driven and service-oriented architecture patterns.

· Partner with engineering teams on scalability and performance initiatives.

· Drive simplification of complex legacy systems and technical debt reduction.

· Experience working directly with executive stakeholders.

· Exceptional communication skills with both technical and non-technical audiences.

· Proven ability to influence organizational strategy and technology direction., Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.
Job Type & Location

## Description

OpenAI
Claude AI
Operations
Leadership
Governance
Resilience
Scalability
AI Adoption
Communication
Microservices
Observability
Technical Debt
GitHub Copilot
Microsoft Azure
Code Generation
Influencing Skills
Business Valuation
Workflow Management
Software Engineering
Emerging Technologies
Technology Strategies
Architecture Strategy
Cloud-Native Computing
Full Stack Development
Organizational Strategy
Enterprise Architecture
Business Transformation
Architectural Leadership
Event-Driven Programming
Service-Oriented Architecture

At least 10 years
$152,631 - $193,316 / yr
Posted yesterday, Our Client is seeking an exceptional Enterprise AI Principal Architect to help define the future of their current cloud platform and drive the

organization's transition into AI-native software delivery. This is a strategic architecture leadership role for a proven technology leader

who combines deep enterprise architecture experience with practical expertise in modern AI-powered engineering. The ideal candidate is capable of

defining vision, influencing executives, establishing architecture standards, mentoring engineering leaders, and driving modernization efforts across a mission-critical public safety platform.

Responsibilities

· Define and maintain the multi-year technology roadmaps.

· Establish reference architectures, standards, patterns, and governance practices.

· Drive platform modernization initiatives across applications, infrastructure, integrations, data, and AI.

· Partner with executive leadership to align technology strategy with business objectives.

· Lead architecture reviews across multiple engineering teams.

· Evaluate emerging technologies and determine strategicapplicability.