Vice President - AI Consulting Engineering Lead
Inizio Partners
Job Description
Job Description
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.
Vacancy posted a month ago
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