Role: Vice President - AI Consulting Engineering Lead NY/ NJ (preferred) / Remote Key Responsibilities: • Lead Deep tech partner ecosystem and practice • Collaborate with Labs and partner ecosystems (Google, Microsoft, Salesforce, UiPath, ServiceNow, AWS, Appian etc.) to integrate emerging capabilities into client solutions. • Set up Deep tech labs with Nvidia, Open AI, Anthropic, Groq etc. • Identify and incubate emerging technology use cases (e.g., Agentic, Quantum) relevant to client industries. • Client Pursuit & Technical Solutioning • Lead the technical pre-sales process, engaging directly with clients to understand business goals, pain points, and transformation needs. • Develop end-to-end solution architectures across data platforms, cloud ecosystems (AWS, Azure, GCP), AI/ML, IoT, and other deep tech domains. • Author and present compelling technical proposals, RFP/RFI responses, and solution blueprints that resonate with client stakeholders. • Engage in RFP/RFI cycles and deal reviews to ensure technical integrity and differentiation. • Transformation Consulting & Advisory • Act as a strategic advisor to clients on digital transformation, data modernization, cloud migration, and emerging AI adoption. • Assess current state architecture and co-create AI led transformation roadmaps aligned with future-state vision and business priorities. • Lead client and internal architecture workshops • Shape AI-first enterprise designs integrating data platforms, automation, and intelligent workflows. • Partner with cross-functional teams across domain, tech, data, and AI to define solutions for large transformation deals. • Translate business objectives into executable technology roadmaps with clear ROI and scalability. • Define architectural guardrails, reusable components, and accelerators for repeatable deployment patterns. • Mentor solution and engineering teams to adopt modern design principles Qualifications: • 15+ years in enterprise architecture, engineering, or solution leadership within consulting, SI, or digital practices. • Proven experience in architecting data-driven, AI-enabled enterprise platforms. • Understanding of cloud-native architectures, integration frameworks, data fabric/mesh, and AI orchestration. • Stakeholder management and executive communication skills.