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Vice President, AI Ecosystem & Developer Platform

Job in Fort Mill, York County, South Carolina, 29715, USA
Listing for: LPL Financial LLC
Full Time position
Listed on 2026-07-16
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect, DevOps
Salary/Wage Range or Industry Benchmark: 163900 - 273100 USD Yearly USD 163900.00 273100.00 YEAR
Job Description & How to Apply Below
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.

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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