Senior Workday Integration Developer Jobs in Fort Mill, SC

Where Ambition Meets Innovation

Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you'll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.

The Senior Engineer, Agent Integration & Tool Platform is responsible for designing and operating the enterprise platform that enables secure, governed, and reusable integration between AI agents, enterprise systems, APIs, applications, data products, and external services.

This role will establish the standards, frameworks, and platform capabilities that allow development teams to rapidly onboard tools and services while maintaining enterprise requirements for security, governance, resiliency, observability, and auditability.

The ideal candidate combines deep expertise in distributed systems, API architectures, platform engineering, and emerging agent interoperability standards to create a scalable foundation for enterprise AI ecosystems.

Responsibilities

Agent Integration Platform

• Design and implement enterprise capabilities that enable AI agents to securely interact with enterprise systems, APIs, applications, and services.

• Establish reusable integration patterns that accelerate adoption while reducing implementation complexity for development teams.

• Define enterprise standards for agent interoperability and service integration.

Tool Registry & Discovery Services

• Build and operate centralized capabilities for tool registration, discovery, metadata management, and lifecycle governance.

• Establish standards for tool contracts, schemas, versioning, ownership, and operational support.

• Develop mechanisms that enable agents and applications to discover and consume approved enterprise capabilities.

Agent-to-Agent Communication

• Define patterns and standards for communication and collaboration between autonomous and semi-autonomous systems.

• Design mechanisms for agent capability discovery, delegation, orchestration, and coordination.

• Establish governance and observability frameworks for multi-agent environments.

Platform Governance & Controls

• Implement controls supporting authentication, authorization, entitlement management, and policy enforcement.

• Partner with Information Security, Risk, Compliance, and Enterprise Architecture teams to ensure integrations comply with enterprise standards.

• Ensure all platform capabilities support auditability, traceability, and regulatory requirements.

Developer Enablement

• Create SDKs, templates, onboarding frameworks, and reference implementations that simplify adoption.

• Establish engineering standards and best practices for tool integration and agent development.

• Improve developer productivity through automation, self-service capabilities, and platform abstractions.

Platform Operations & Observability

• Build capabilities supporting monitoring, tracing, usage analytics, performance management, and operational governance.

• Establish metrics for tool adoption, reliability, utilization, and business impact.

• Ensure platform resiliency, scalability, and operational excellence.

Technical Leadership

• Lead architecture reviews and engineering design decisions.

• Mentor engineers and influence technical direction across multiple teams.

• Drive engineering excellence through best practices, reusable patterns, and platform modernization initiatives.

Success Measures

• Reduction in time required to onboard new tools and enterprise capabilities.

• Increased reuse of enterprise services across applications and AI systems.

• Consistent implementation of governance and security controls across integrations.

• High platform reliability, observability, and operational maturity.

• Accelerated adoption of agent-based capabilities across the enterprise.

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 8 years of software engineering experience.

• Experience designing and building enterprise integration platforms, API platforms, or distributed systems.

• Knowledge of API architecture, service contracts, event-driven systems, and platform engineering principles.

• Experience implementing authentication, authorization, and governance controls in enterprise environments.

• Experience building developer platforms, SDKs, shared services, or integration frameworks.

• Designs and enables AI agent-to-tool communication frameworks, including tool discovery, service orchestration, and integration patterns that allow agents to securely access APIs, data sources, and enterprise services at scale.

• Understanding of cloud-native architectures and modern software engineering practices.

• Experience with agent frameworks, agent orchestration, or autonomous systems

• Experience with Model Context Protocol (MCP), tool registries, service catalogs, or capability management platforms.

• Experience with enterprise API management, service mesh, or integration platforms.

• Familiarity with AI and machine learning platforms and their integration requirements.

• Experience operating in highly regulated environments.

Pay Range:

Company 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.comemail 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