Principal AI Architect

Responsibilities

• Understand the context of the supported product or product portfolio within the organization and its competitive landscape.
• Collaborate with group and business architects to document the business architecture.
• Work with product stakeholders to create a product strategy, identify investments, and develop roadmaps that align with business goals and minimum viable architecture (MVA).
• Define and maintain the high-level target product and portfolio architecture.
• Support technology innovation by identifying opportunities for proof-of-concept work.
• Provide guidance on critical AI architecture decisions based on enterprise reference architecture.
• Collaborate with domain architects for deeper domain knowledge.
• Coach and mentor product team members on product architecture frameworks.
• Stay updated with current enterprise guidance and maintain knowledge of the enterprise application and technology portfolio.
• Collaborate with other architect roles supporting product management.
• Identify needed capabilities and features to enable product development.
• Cookordination the implementation of product-specific enablers with product owners and managers.
• Prioritize development of needed enterprise enablers with enterprise architects and portfolio managers.
• Work with major vendors such as Workday and Dassault, focusing on AI roadmaps.
• Aid with the evaluation of emerging technologies.
• Serve as a member of the architecture community of practice.
• Contribute to principles, guidelines, standards, and solution patterns to the MVA based on feedback from product development.
• Escalate non-compliant product architecture decisions.
• Mentor and guide junior and mid-level architects, providing strategic leadership.

Qualifications

• Bachelor's degree in Computer Science, or related field. 5+ Years of Experience in AI Architecture.
• Relevant experience can be considered as a substitute for the required educational qualifications. In the absence of a degree, a minimum of 11 years of related experience is required.
• Ability to break down AI architecture into product backlog and select features for an MVP sprint.
• Experience selecting technologies focusing on cost, schedule, technical capabilities, and ROI.
• Expert proficiency in Agile management.
• Extensive experience with enterprise architecture, capability planning, and alignment of IT to corporate and BU strategy.
• Strong experience with drafting reference architecture.
• Experience designing, developing, and integrating applications.
• Vendor management experience.
• Strong strategic thinking, analytical, and leadership skills.
• Excellent communication and executive-level presentation skills.