VP, AI Enterprise Architecture (Onsite)

VP, AI Enterprise ArchitectureWe're looking for a VP, AI Enterprise Architecture for an onsite role in Columbia, SC.Skills & Qualifications:15 years of experience in enterprise architecture with significant experience designing and implementing enterprise AI/ML platforms and solutionsDeep knowledge of AI/ML frameworks, cloud AI services (e.g., AWS), and modern data technologiesExperience with foundation models, prompt engineering, RAG architectures, and agentic AI patternsStrong understanding of AI risks, governance frameworks, and regulatory considerationsFamiliarity with Agile/Lean delivery and modern engineering practices (e.g., CI/CD, MLOps)Demonstrable experience of delivering complex software systems as an engineer and architectProven ability to communicate complex technical concepts to both technical and business audiencesStrategic thinker with strong problem-solving and analytical skillsCollaborative and influential leader across complex organizationsCurious and forward-looking on emerging technologiesOutcome-driven with focus on measurable business impactKey Responsibilities:Define and evolve the enterprise AI architecture strategy and standardsBe the enterprise architecture representative in AI governance committees and directly contribute to governance frameworks and enterprise standardsEnsure enterprise AI capabilities are aligned to business outcomes and enterprise prioritiesDesign scalable, modular, and secure agentic AI solutionsEstablish reference architectures, reusable patterns, and enterprise platforms to industrialize AI capabilities at scale (primarily cloud-based / hyperscaler capabilities)Align AI architecture with enterprise capabilities and technology roadmapsEvaluate emerging technologies and guide tool/platform selection to ensure cost-effective, future-ready solutionsContinuously maintain and update the enterprise AI platform roadmaps as the technology and industry capabilities evolveEnsure consistent adoption of architecture standards across delivery teamsLead architecture governance, compliance, and quality (design-time and runtime performance)Influence senior leaders and drive alignment across stakeholdersPartner with business, product, and technology leaders to translate strategy into executionGuide and mentor architects and technical leaders while being a champion of disciplined architecture practices across the organizationDrive continuous improvement through learnings from implementation and solution deliveryDefine business outcomes, use cases, and success metrics; support AI business casesPartner with the enterprise data team to ensure availability, governance, and compliance of data required for AI solutionsLead evaluation and selection of foundation models (LLMs, etc.) based on business fit and costOversee model training, validation, and risk assessment (e.g., bias, hallucination)Define deployment approaches and support enterprise adoption and change managementEstablish monitoring frameworks for performance, drift, and continuous improvementEnsure alignment with responsible AI principles (fairness, transparency, accountability) and regulatory requirementsPartner with risk, legal, and compliance teams to mitigate AI-specific risks (e.g., bias, model drift, data leakage)Establish clear roles, responsibilities, and oversight mechanisms for AI solutionsEducation/Certifications:Bachelor's degree required; advanced degree preferredIdeal Candidate:The ideal candidate is a seasoned enterprise architect with 15 years of experience, specializing in AI/ML platforms and solutions. They possess deep knowledge of AI/ML frameworks, cloud services, and modern data technologies. They are strategic thinkers with strong problem-solving skills, capable of leading and influencing across complex organizations. They demonstrate a strong understanding of AI risks and governance, and are committed to aligning AI capabilities with business outcomes. TM Floyd