Senior AI Platform Engineer, Agent Integration & Tool

LPL Financial

Quick summary

Work type
On-site
Location
Fort Mill, SCCharlotte, NC
Salary
$115,154–$191,889 / yr
Posted
2 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $199k
This role $154k
$101k most similar roles pay here $251k

This role pays less than 84% of similar roles. Most pay $162,000–$235,750 — the shaded band above. At the midpoint, this role pays about $154k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About LPL Financial

LPL Financial is the largest independent broker-dealer in the United States, providing brokerage and investment advisory services to independent financial advisors and financial institutions. Industry: Financial Services & Wealth Management

LPL Financial currently has 43 open roles on FindRole.

Listed pay typically runs $135,960–$226,600 across 43 roles with salary data.

Most-posted roles

View all roles at LPL Financial

At a glance

TL;DR · Senior AI Platform Engineer, Agent Integration & Tool

Role Posting Log in to save

The Senior Engineer for Agent Integration & Tool Platform is a key role within the engineering team, focusing on building and maintaining an enterprise platform that facilitates secure and governed integration between AI agents and various systems. This position involves designing standards and frameworks to streamline development teams' ability to integrate tools while ensuring compliance with security and governance requirements. The ideal candidate will have expertise in distributed systems, API architectures, and emerging agent interoperability standards, using technologies like cloud-native solutions and modern software engineering practices. They will work on creating SDKs, templates, and reference implementations to enhance developer productivity and ensure platform reliability through robust monitoring and observability frameworks. This role also includes collaborating with security and compliance teams to enforce enterprise-wide governance and auditability standards, driving technical leadership across multiple teams.

Skills

API Kubernetes Docker CI/CD Python JavaScript PostgreSQL AWS Azure GCP Terraform Prometheus Grafana OAuth OpenAPI Service Mesh MCP GraphQL REST Swagger GitOps

What you'll do

  • Design and implement secure integration capabilities for AI agents with enterprise systems.
  • Establish reusable patterns to accelerate development team adoption of new tools and services.
  • Build centralized tool registration and discovery services for metadata management and governance.
  • Define standards and mechanisms for agent-to-agent communication and collaboration in multi-agent environments.
  • Implement platform controls for authentication, authorization, and policy enforcement across integrations.
  • Create SDKs and onboarding frameworks to simplify developer adoption of enterprise capabilities.
  • Ensure platform reliability, observability, and operational excellence through monitoring and analytics.

What we're looking for

  • Minimum 8 years of software engineering experience in enterprise integration platforms.
  • Expertise in API architecture, service contracts, event-driven systems, and platform engineering principles.
  • Experience implementing authentication, authorization, and governance controls in enterprise environments.
  • Proven ability to design and build developer platforms with SDKs and shared services.
  • Understanding of cloud-native architectures and modern software engineering practices.
  • Familiarity with AI and machine learning integration requirements preferred.

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