Enterprise AI Architect

AI Enterprise Architect

The AI Enterprise Architect assists the Principal Architect during Professional Services engagements and collaborates with Lead or Principal consultants and other cross-functional teams on complex customer projects focused on AI technologies, particularly those involving NVIDIA solutions. This role serves as a technical and business outcome leader, providing oversight and alignment between Engineers, Architects, and the customer's technical or business leaders for AI-centric projects.
The AI Enterprise Architect may be assigned to lead customer-facing services projects of varying size and complexity, often including the development of AI-specific project deliverables (e.g., white papers, plans, strategies, designs, assessments, and business case analyses). When designated as the Solution / Technical leader, they will collaborate with PMO leadership to form the "Two in the Box" model, which is essential for driving successful AI project outcomes.

Solutions / Technical Leadership Role:

• Client Scope and Objectives: Understand all client scopes and objectives related to AI technologies, serving as the primary technical voice externally and the escalation point internally for employees, partners, and contractors.
• Risk and Issue Resolution: Partner with the PMO counterpart to identify and resolve risks and issues, leveraging a strong background in AI and available resources.
• Best Practices and Templates: Ensure best practices and templates for AI projects are followed and delivered to the customer.
• Technical Reviews: Review deployment documents, technical assessments, and other outputs to ensure consistent and accurate delivery, following the principle of "One Voice."
• Project Management: Manage AI projects as if they were independent businesses, focusing on profitability and professionalism.

Primary Responsibilities:

• Customer Contact: Serve as the technical and business contact between the organization and the customer throughout AI projects, ensuring desired outcomes are met.
• Architecture Activities: Execute architecture methodologies leading to comprehensive discovery, analysis, and technical/business recommendations focused on AI solutions.
• Communication Skills: Demonstrate advanced business and technical writing, as well as presentation skills, specifically related to AI technologies.
• Technical Presentations: Effectively deliver in-depth technical AI solutions presentations.
• Project Team Motivation: Self-motivated and able to energize a project team toward AI-related goals.
• Customer and Project Goals: Strive to exceed customer and project expectations with a focus on AI technologies.
• Thought Leadership: Provide strategic insights and innovative thinking in AI.
• Customer Service: Maintain a positive customer service attitude.
• Project Delivery: Ensure the delivery of high-quality project work, adherence to standards, and optimal resource allocation for current and future AI project demands.
• Client Relationships: Foster long-term client relationships, demonstrating a strong customer focus.
• Project Architectural Principles: Apply expert knowledge of AI project architectural principles and practices.
• Travel Requirements: Willing to travel 50-75% of the time.
• Problem Solving: Proactively detect technical deficiencies in AI projects and develop practical, workable solutions.
• Critical Task Execution: Take full responsibility for executing and delivering critical AI tasks or projects.

Collaboration & Leadership:

• Vision Communication: Convey the organization's vision in accurate and relevant terms, helping others see improvements through AI technologies.
• Strategic Priorities: Stay focused on department and strategic priorities, allocating time and resources accordingly.
• Coaching and Mentoring: Demonstrate the ability to mentor team members, particularly in AI technologies.
• Technical Knowledge Expansion: Continuously seek ways to expand technical knowledge in AI.
• Professional Maturity: Maintain professional maturity and presence as a technical AI expert.
• Industry Trends: Stay current with industry trends and tools in AI to provide best-practice insights and recommendations.
• Regulatory Compliance: Ensure all AI components and implementations comply with applicable standards, policies, and guidelines.

Educational/Experience Requirements:

• Certifications: Industry-recognized enterprise architecture certifications such as TOGAF, Zachman, or AI and machine learning-specific credentials.
• Experience: Minimum of five (5) years of industry experience in enterprise IT management, technology consulting, advisory, or professional services with an AI focus.
• Consulting Experience: 3-5 years of experience as a Senior or Lead Consultant, or equivalent experience in AI.

Preferred Knowledge:

• Deep understanding of AI technologies, especially NVIDIA solutions, and market trends.
• Post-graduate training in business-related disciplines or management.
• Advanced client-facing skills, including the ability to analyze complex AI-related problems and influence or negotiate with clients.
• Demonstrated technical consulting experience in sectors such as government, public sector, higher education, finance, healthcare, technology, or other commercial fields.