Enterprise Architect - Data Architecture - Atlanta Innovation Hub

About the role

Implementing robust AI transformation solutions and optimizing the integration of various technologies and services will be key aspects of your role. Delivering customer workshops: Prepare and deliver technical engagements including strategy sessions, envisioning workshops, architecture design sessions and rapid prototyping to demonstrate key capabilities, validate against identified risks and finalize technology choices.

AI Transformation Leadership: Be the trusted voice within the business and for customers on the latest AI platform and technology trends, guiding their transformation journeys. By prioritizing AI use cases through design thinking workshops, you will lead these journeys effectively.

Strategic Vision and Planning: Own and execute a clear strategic vision for AI transformation initiatives on a set of targeted accounts, aligning with organizational goals and customer needs by collaborating and orchestrating cross-functional teams.

Solution Design and Architecture: Develop comprehensive solution architectures based on patterns and practices that are tied to customer requirements and ensure that solutions are scalable, secure and optimized for performance. By utilizing consultation skills, you will uncover and prioritize opportunities, ensuring solutions are addressing real customer needs.

Cross Platform Collaboration: Adopt a holistic approach to integrate capabilities across the entire cloud platform, identifying synergies and optimizing cross-platform integration. You will work with your peers and stakeholders to make the Innovation Hub the home of Cross Solution AI Transformation. Technical Depth: Maintain and grow expertise in AI solutions that will include services like AI Foundry or Fabric Data platform.

Develop skills in AI management and security, real-time intelligence, and application architecture to support AI transformation initiatives. Stay updated with the market trends and collaborate within technical communities. Lead the creation of scalable, field-relevant assets through internal communities.

Champion Hub engagement success by connecting technical capabilities to sales opportunities and serving as a trusted voice with sales leaders and account teams.

7+ years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 6+ years technical pre-sales or technical consulting experience OR Master's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience OR equivalent experience.

This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship. Adept at solution design, development, integration, governance, compliance, and security, this role drives operational excellence and responsible AI transformation through scalable, secure, and sustainable solutions.

Enterprise Architect Experience: Proven experience as an Enterprise Architect, designing and implementing large-scale, complex solutions that align with business goals and technical requirements. Ability to integrate various technologies and platforms to create cohesive and scalable architectures. Experience with cloud and hybrid infrastructures, adjacent technologies, architecture designs, migrations, and industry standards.

Consultative Selling: Proven experience in a consultancy role, providing expert guidance and strategic recommendations to customers. Ability to navigate complex technical landscapes and deliver tailored solutions that meet specific customer needs.

Strategic & Structured Facilitator: Validated customer experience in requirements capture; prioritization; capturing evidence and impact to quantify business value; issue, risk and constraint identification with a focus on strategic goals and outcomes. AI Solution Design Experience: Expertise in designing architectures and hands-on experience building and deploying AI.

Experience with Copilot Studio, Large Language Models, prompt engineering, agentic architectures, responsible AI practices and familiarity with emerging industry standards such as MCP and A2A. Understanding of AI related Azure services. Certification in relevant technologies or disciplines Azure Certifications: