VP, Product Development AI Agentic Architecture

About the Role

Key Responsibilities

• Define and lead the end-to-end product development strategy for CINDE agentic AI applications.
• Drive the roadmap for multi-agent orchestration, personalized assistants, and autonomous decision-making workflows powered by CINDE.
• Collaborate with executive leadership, engineering, and data science to align the product vision with business and customer needs.
• Lead the design of agentic AI architectures within the CINDE platform to enable autonomous, persona-driven agents.
• Build a scalable multi-agent framework capable of reasoning, planning, and executing tasks in dynamic enterprise environments.
• Integrate CINDE's knowledge graph, ontologies, and semantic reasoning engines to deliver context-aware, personalized experiences.
• Develop AI-powered assistants for predictive insights, natural language interactions, and contextual decision support.
• Build knowledge graph-driven systems that unify enterprise data to provide adaptive, agentic AI experiences.
• Partner with design teams to create human-in-the-loop interfaces that enhance explainability and trust in AI outputs.
• Own the productization of advanced GenAI capabilities into real-world enterprise workflows.
• Collaborate closely with R&D on agent behavior modeling, AI orchestration, and contextual knowledge retrieval.

Requirements

• 12+ years of product and technology leadership experience with a track record of building AI-first enterprise platforms.
• Proven ability to scale engineering teams from startup to enterprise across geographies.
• Expertise in AI/ML, multi-agent architectures, intelligent assistants, and knowledge graph-powered products.
• Deep hands-on understanding of ontology design, semantic data modeling, and graph-driven decision systems.
• Exceptional leadership and stakeholder management skills, with the ability to bridge business, product, and engineering priorities.
• Experience integrating GenAI capabilities into SaaS and platform products.

Nice to Have

• Experience in startups.
• Experience in system design.
• Experience with scalable systems.
• Experience with research & development.
• Experience with stakeholder engagement and relationship building.
• Experience with cross-functional team management and communication.
• Knowledge of semantic Web, graph databases, and AI agent orchestration.

Qualifications

• 11+ years of experience in relevant fields.

Benefits & Perks

• Salary range of $300,000 - $325,000 per year.