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Fort Mill, South Carolina, United States
Hybrid
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
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.
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 enterprise-scale internal platforms, developer marketplaces, service catalogs, app stores, or ecosystem products used across multiple engineering teams.
Proven Developer Champion mindset—deep empathy for internal engineering teams
Developer Champion: Deep empathy for internal engineering teams with a focus on usability, simplicity, and developer productivity.
Customer-Obsessed: Prioritizes speed, clarity, and a best-in-class developer experience.
Ecosystem Thinker: Designs reusable, composable solutions that scale across teams and business units.
Adoption-Focused: Measures success through platform usage, integration velocity, and developer satisfaction.
Collaborative Leader: Builds alignment across platform, security, product, and engineering organizations.
Bias for Action: Delivers practical, high-impact solutions in a rapidly evolving AI landscape.
Strategic Platform Builder: Proven ability to create and scale enterprise platforms, standards, and reusable capabilities.
Experience with: Kong AI Gateway / API gateways, MCP servers and emerging AI integration patterns, and Enterprise-grade platform and tooling development
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:
$163,900.00 - $273,100.00Company Overview:
LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com.
At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.
For further information about LPL, please visit www.lpl.com.
Join the LPL team and help us make a difference by turning life’s aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE.
Information on Interviews:
LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant’s bank or credit card. Should you have any questions regarding the application process, please contact LPL’s Human Resources Solutions Center at (855) 575-6947.
EAC 5.19.26
