Job Description:
What This Role Is All About
Likewize is seeking a Principal Enterprise AI Architect to join our IT Development team at our office in Alpharetta, Georgia.
Your Key Areas of Focus
- Lead the enterprise AI architecture vision, strategy, and adoption roadmap across the organization.
- Partner with engineering, product, operations, and business leaders to identify high-impact opportunities for AI-driven innovation and efficiency.
- Establish architecture standards, guardrails, and best practices for AI-enabled solutions, automations, and workflows.
- Evaluate and recommend AI platforms, tools, and technologies that align with business objectives and enterprise standards.
- Ensure AI solutions are scalable, secure, ethical, and aligned with responsible AI principles.
- Support architects, developers, and technical teams on AI-assisted development, solution design, governance, and adoption best practices.
What We’re Looking For
- 7 - 10 years of experience in software development, solution architecture, enterprise architecture, or a related technical leadership role.
- Proven experience driving AI initiatives, AI-enabled development practices, or enterprise AI transformation efforts.
- Strong technical expertise in modern application architecture, including .NET, JavaScript frameworks, SQL, and AWS.
- Demonstrated ability to evaluate business processes and identify opportunities where AI can improve productivity, automation, quality, or decision-making.
- Strong communication and stakeholder management skills, with the ability to influence across technical and non-technical audiences.
- Experience leading through collaboration and driving adoption across cross-functional teams.
Extra Skills We’d Love to See
- Experience with Microsoft 365 Copilot, Copilot Studio, GitHub Copilot, Amazon Bedrock, or similar enterprise AI technologies.
- Experience in integrating enterprise platforms and applications, including ERP systems such as NetSuite.
- Previous professional experience in the insurance or telecommunication industry.
- Familiarity with responsible AI governance, security, compliance, and change management practices.
- Experience coaching teams on AI productivity tools and enterprise AI adoption strategies.
- Experience collaborating with customers, partners, or vendors to deliver technology solutions.
