Enterprise AI Principal Architect
About The Position
Our client is seeking an Enterprise AI Principal Architect to define the future of its cloud platform and lead the transition to AI-native software delivery. This strategic architecture leadership role calls for a technology leader with enterprise architecture experience and practical expertise in AI-powered engineering. The architect will define vision, influence executives, establish architecture standards, mentor engineering leaders, and drive modernization across a mission-critical public safety platform. The role includes defining technology roadmaps and reference architectures, leading architecture reviews across engineering teams, and advancing platform modernization across applications, infrastructure, integrations, data, and AI. The architect will establish governance for AI-assisted development and create patterns and frameworks for responsible, secure, and scalable AI implementation. The position is contract-to-hire and fully remote, based out of Charlotte, North Carolina. The stated pay range is $73.38–$92.94 per hour; individual compensation depends on factors including qualifications, skills, experience, job knowledge, geographic location, and internal equity.
Requirements
- 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.
- Experience working directly with executive stakeholders.
- Exceptional communication skills with technical and non-technical audiences.
- Proven ability to influence organizational strategy and technology direction.
Responsibilities
- Define and maintain multi-year technology roadmaps.
- Establish reference architectures, standards, patterns, and governance practices.
- Drive platform modernization 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 their strategic applicability.
- Establish standards for spec-driven development and AI-assisted software delivery.
- Implement governance for LLM usage, agentic workflows, code generation, testing, validation, and security.
- Drive adoption of AI engineering tools and emerging agent platforms.
- Create architecture patterns for AI-powered features.
- Develop frameworks for responsible, secure, and scalable AI implementation.
- 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 reduction of technical debt.
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What This Job Offers
Career Level
Principal
Education Level
No Education Listed
