Vice President, AI Ecosystem & Developer Platform

Lead with Purpose, Unlock Your Team’s Passion At LPL, people leaders hold the key to the employee experience — shaping culture, driving performance, and guiding individuals to new heights. Because when that happens, we all win – clients, LPL, and most importantly our, employees. If you're ready to lead with intention and discover what’s possible, LPL Financial invites you to apply today.

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 Lead 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: Enable consistent, secure, and scalable AI access patterns Developer Experience & Adoption Deliver a best-in-class  developer starter kit , documentation, and quickstart 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 Impact 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 ​ What are we looking for? We’re looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness , act with integrity , and are driven to help our clients succeed . We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work. ​ Requirements: Minimum of 10 years of experience in software engineering, platform engineering, developer platforms, API ecosystems, or enterprise technology platforms. Minimum of 5+ years of leadership experience managing platform, developer experience (DX), API, or AI engineering teams. Minimum of 3+ years of experience building and scaling AI/LLM-enabled platforms, products, or developer tooling, including agents, MCP servers, and AI integration patterns. Minimum of 3+ years of hands-on experience with API management platforms such as Kong, Apigee, MuleSoft, AWS API Gateway, or Azure API Management. Experience building and driving adoption of