Vice President, AI Ecosystem & Developer Platform
Job in
Fort Mill, York County, South Carolina, 29715, USA
Listed on 2026-07-16
Listing for:
LPL Financial LLC
Full Time
position Listed on 2026-07-16
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Software Architect, DevOps
Job Description & How to Apply Below
If you're ready to lead with intention and discover what’s possible, LPL Financial invites you to apply today.
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.
Responsibilities:
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, 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.
Core Competencies Proven Developer Champion mindset—deep empathy for internal engineering teams
Developer Champion:
Deep empathy for…
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