Vice President - AI Consulting Engineering Lead

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.