VP of AI Center of Excellence

Job Title: Vice President – AI Center of Excellence (CoE)

Location: NY, USA (Remote)

Seniority Level: Executive / Vice President

Employment Type: Full-time

About the Role

We are seeking an experienced, visionary Vice President of AI Center of Excellence (CoE) to lead the strategic design, execution, and scaling of artificial intelligence initiatives across the enterprise.

In this role, you will champion the adoption of next-generation AI—with an emphasis on Generative AI, Agentic systems, autonomous multi-agent frameworks, and cloud-native architectures . You will play a pivotal leadership role in optimizing software delivery life cycles (SDLC) and core business operations, scaling reusable AI platform assets, establishing ethical AI governance, and serving as the primary AI evangelist for executive leadership and enterprise clients.

Key Responsibilities

• Strategic Vision & CoE Governance: Define and execute the enterprise-wide AI roadmap aligned with organizational goals; establish operating models, standardizations, and ethical AI governance across global delivery units and diverse industry sectors.
• Agentic & Generative AI Leadership: Spearhead the development, orchestration, and scaling of advanced agentic AI systems, autonomous agents, and generative workflows.
• Flagship Platform & SDLC Optimization: Guide the continuous architectural evolution of internal delivery and SDLC optimization platforms, embedding multi-agent systems to streamline engineering efficiency.
• Architecture & Cloud Infrastructure: Oversee enterprise AI deployment and secure integration across major cloud platforms (AWS, Azure, GCP), vector storage, and modern MLOps pipelines.
• Reusable Asset Development: Partner with automation, digital engineering, and data teams to engineer reusable AI components, toolkits, and data products.
• Executive Evangelism & Client Engagement: Serve as the chief AI subject matter expert; engage with C-suite executives and business leaders to translate complex AI architectures into tangible business value narratives.
• Talent Mentorship & AI Literacy: Build, lead, and mentor a high-performing, multidisciplinary team of AI engineers, data scientists, and solution architects, while elevating AI literacy across the broader organization.

Required Qualifications & Experience

• Total Experience: 15+ years of progressive technology experience, including 5+ years in senior AI/ML leadership roles directing large-scale initiatives.
• Proven Track Record: Demonstrated success in architecting and deploying enterprise-grade AI solutions, with demonstrable experience in Generative AI and Agentic / Multi-Agent systems .
• Cloud & Infrastructure Expertise: Deep architectural knowledge of major cloud ecosystems ( AWS, Azure, GCP ), scalable AI infrastructure, vector databases, and enterprise MLOps.
• Governance & Ethics: Solid foundation in AI governance, data privacy, responsible AI practices, and security compliance.
• Enterprise Ecosystems: Familiarity with modern enterprise platforms, data architectures, and enterprise systems (e.g., Salesforce / CRM platforms).
• Leadership & Communication: Exceptional executive presence, storytelling, stakeholder management, and cross-functional leadership skills.

Nice-to-Have / Preferred Qualifications

• Experience within technology consulting, professional services, or enterprise digital transformation environments.
• Hands-on knowledge of agentic orchestration frameworks (e.g., LangChain, AutoGen, CrewAI) and vector search engines.
• Experience presenting at major industry conferences, forums, or publishing thought leadership on applied artificial intelligence.