AI Architect Lead Advisor

Req : 392207

We are currently seeking a AI Architect Lead Advisor to join our team in Plano, Texas (US-TX), United States (US).

As a Principal AI Domain Technical Leader, you will serve as the senior technical delivery leader for one of North America AI Delivery's vertical portfolios:
Products, Insurance, Banking & Financial Services, Healthcare/Pharma/Life Sciences, or SLED. Reporting to the AI Delivery Executive for the vertical, with a dotted-line relationship to the North America AI Delivery Technical Lead, you will be responsible for technical delivery excellence, architecture quality, engineering standards, technical risk management, and technical leadership across the portfolio.

This is a hands-on leadership role for a practitioner who combines deep technical expertise with enterprise delivery experience. You will support strategic pursuits, guide complex AI transformations, mentor architects and engineers, provide technical oversight across active engagements, and help resolve delivery challenges before they become client escalations.

You will work closely with AI Delivery Executives, Engagement Leaders, Solution Architects, Engineering teams, Global Centers of Excellence, and client technology stakeholders to ensure AI solutions are delivered with the quality, security, governance, scalability, and operational readiness expected of enterprise-grade platforms.

Success in this role requires someone who remains close to the technology, understands modern AI delivery practices, and is willing to engage directly with teams to solve complex technical and delivery challenges.

• Provide technical leadership across the vertical portfolio, ensuring delivery teams adhere to architecture, engineering, security, responsible AI, governance, and SDLC standards.
• Lead technical oversight on strategic AI transformation programs, helping teams identify and resolve technical, architectural, delivery, and operational risks.
• Partner with AI Delivery Executives and Engagement Leaders to assess delivery health, support recovery efforts, and provide technical leadership for escalations and complex client situations.
• Support strategic pursuits by validating technical approaches, delivery models, staffing assumptions, solution feasibility, and implementation risks before client commitments are made.
• Establish and maintain reusable reference architectures, engineering patterns, delivery accelerators, and best practices that improve quality, consistency, and delivery speed across the portfolio.
• Conduct technical reviews, delivery audits, and quality assessments to ensure active programs meet AI Studio standards and client expectations.
• Partner with architects, engineers, data scientists, and platform teams to address technical challenges and improve delivery outcomes across active engagements.
• Build trusted relationships with client technology stakeholders, including CTOs, Chief Architects, Engineering Leaders, Data Leaders, and AI leaders.
• Serve as a technical advisor during executive client discussions, translating complex technical concepts into business-relevant outcomes and risks.
• Mentor and coach architects, engineers, and technical leads while helping identify capability gaps, development needs, and technical succession opportunities.
• Partner with the North America AI Delivery Technical Lead to continuously improve technical standards, delivery methodologies, governance practices, and capability development.
• Contribute to thought leadership, innovation, and continuous improvement efforts related to AI engineering, agentic AI, cloud platforms, delivery excellence, and emerging technologies.

• Bachelor's degree or equivalent professional experience, and 12+ years of experience in enterprise technology delivery, architecture, engineering, consulting, or large-scale transformation programs.
• 8+ years of experience leading architecture, engineering, technical delivery, or solution design activities for complex cloud, data, AI, digital, or enterprise transformation initiatives.
• Demonstrated experience delivering enterprise technology solutions in production environments, including responsibility for technical quality, governance, architecture decisions, risk management, and delivery outcomes.
• Strong technical expertise in at least one major cloud ecosystem (Azure, AWS, or Google Cloud) and current experience with modern AI technologies, including machine learning,…