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LPL Financial

Applied AI Solutions Engineer

LPL Financial

. Design and build AI-enabled applications, copilots, assistants, and workflow automation solutions on top of the AI Hub platform .

Posted 4/11/2026full-timeFort Mill • California, North Carolina • 🇺🇸 United StatesSeniorLead💰 $115,141 - $191,902 per yearWebsite

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Design and build AI-enabled applications, copilots, assistants, and workflow automation solutions on top of the AI Hub platform
  • Integrate enterprise data, business services, and tools into governed, compliant AI experiences
  • Implement orchestration logic, tool-calling flows, prompt chains, and human-in-the-loop patterns where appropriate
  • Partner closely with business, product, risk, and platform teams to shape use cases into production-ready solutions
  • Identify reusable components, patterns, and lessons learned to inform platform evolution and enablement efforts
  • Help define and meet non-functional requirements related to accuracy, explainability, security, cost, latency, and supportability
  • Participate in pilots, experiments, and production releases for AI-enabled solutions

Requirements

What you’ll need
  • 7–12 years of experience building software applications and services in production environments
  • Python preferred
  • 7–12 years of experience integrating APIs, enterprise systems, and data services
  • 2–3 years of hands-on experience with AI/LLM application development, including prompt engineering, retrieval, and orchestration frameworks
  • Ability to move from loosely defined ideas to implemented, working solutions
  • Strong collaboration and communication skills across technical and non-technical stakeholders

Benefits

Comp & perks
  • 401K matching
  • health benefits
  • employee stock options
  • paid time off
  • volunteer time off
  • highly competitive total rewards package

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
PythonAI application developmentAPI integrationorchestration frameworksprompt engineeringworkflow automationdata servicesproduction environmentscompliancenon-functional requirements
Soft Skills
collaborationcommunicationproblem-solvingstakeholder engagementadaptabilitycritical thinkingteamworkcreativityleadershiporganizational skills