Vice President, AI Ecosystem & Developer Platform

Job Overview

We are building a next-generation AI Ecosystem — an internal App Store for AI-enabled products that enables teams to rapidly discover, integrate, and scale trusted AI capabilities across the enterprise. This role will lead the strategy and execution of a developer-first platform that standardizes how AI is built, secured, consumed, and scaled—driving adoption through reusable components, curated catalogs, and seamless integration into engineering workflows.

You will operate at the intersection of platform engineering, developer experience, and AI governance, shaping an ecosystem that accelerates innovation while maintaining enterprise trust and compliance.

AI Ecosystem Platform & Catalogs

• Design and operationalize a centralized AI App Store experience for internal developers.
• Build and maintain curated catalogs, including:
• MCP Server Catalog (Model Context Protocol servers)
• Reusable Agents Catalog
• Prompt and Context Libraries
• Evaluation Templates and benchmarking frameworks
• Ensure discoverability, standardization, and high‑quality onboarding across all assets.
• Secure AI access & integration, leading the development of a secure AI browser experience and SaaS integrations.
• Define patterns for safe, compliant AI consumption across tools and workflows.
• Establish enterprise guardrails for identity, data access, and usage governance.

API & Gateway Enablement

• Extend and operationalize Kong AI Gateway capabilities.
• Build and manage custom Kong plugins for consistent, secure, and scalable AI access patterns.

Developer Experience & Adoption

• Deliver a best-in-class developer starter kit, documentation, and quick‑start guides.
• Champion internal developer experience through:
• Clear integration patterns
• Self‑service onboarding
• High‑quality documentation and examples
• Drive adoption through usability, reliability, and ecosystem engagement.

Ecosystem Strategy & Collaboration

• Define and execute an ecosystem‑first strategy across teams and domains.
• Partner with platform, security, and application teams to ensure alignment.
• Identify reusable capabilities and scale them across the organization.

• Establish a standardized, secure, and scalable AI consumption model across the enterprise.
• Accelerate delivery of AI‑enabled products through reusable components and patterns.
• Reduce duplication and risk while increasing velocity and innovation.
• Position the organization as a leader in enterprise AI platform engineering.

• Minimum 10 years of experience in software engineering, platform engineering, developer platforms, API ecosystems, or enterprise technology platforms.
• Minimum 5+ years of leadership experience managing platform, developer experience (DX), API, or AI engineering teams.
• Minimum 3+ years of experience building and scaling AI/LLM-enabled platforms, products, or developer tooling, including agents, MCP servers, and AI integration patterns.
• Minimum 3+ years of hands‑on experience with API management platforms such as Kong, Apigee, Mule Soft, AWS API Gateway, or Azure API Management.
• Experience building and driving adoption of enterprise‑scale internal platforms, developer marketplaces, service catalogs, app stores, or ecosystem products used across multiple engineering teams.

• Experience with Kong AI Gateway / API gateways, MCP servers, and emerging AI integration patterns.
• Experience in building internal platforms, marketplaces, or ecosystem products.
• Understanding of AI/LLM integration patterns, prompt engineering, and agent frameworks.
• Experience implementing AI governance, security controls, identity and access management, and enterprise AI standards.
• Strong understanding of prompt engineering, RAG, context management, tool calling, and AI evaluation frameworks.
• Experience partnering with Engineering, Security, Architecture, and Product leaders to define platform strategy and execution.

Pay Range: $ – $ (actual base salary varies). LPL offers a competitive total rewards package including 401(k) matching, health benefits, employee stock options, paid time off, volunteer time off, and more.

Principals only. EOE.