Software Engineer, Ai Hub Platform

LPL Financial

Multiple Locations, , US
Base: $115,141-$191,902pyear; bonus/equity: not sp...
Hybrid
Distributed systems and cloud-native platforms
Shared platform and internal developer platform experience
Backend programming with java or python
LPL Financial is seeking a Software Engineer for their AI Hub Platform, focusing on the development of shared runtime services and core platform components to support AI-enabled applications. The ideal candidate will have extensive experience in software engineering, particularly with distributed systems and cloud-native platforms, and will work in a hybrid environment

Job Summary

  • LPL Financial is investing in shared, secure, and scalable AI platforms that empower product teams to innovate with confidence.
  • This role offers the opportunity to work at the intersection of engineering, cloud, security, and AI to accelerate AI-enabled solutions across the enterprise.
  • The company provides a highly competitive Total Rewards package including 401K matching, health benefits, employee stock options, and paid time off.

Matching Summary

Match Score: 85

LPL Financial is seeking a Software Engineer for their AI Hub Platform, focusing on the development of shared runtime services and core platform components to support AI-enabled applications. The ideal candidate will have extensive experience in software engineering, particularly with distributed systems and cloud-native platforms, and will work in a hybrid environment.

Salary

Base: $115,141-$191,902/year; Bonus/Equity: Not specified; Benefits: 401K matching, health benefits, employee stock options, paid time off

Skills & Requirements

Must-have

  • Distributed systems and cloud-native platforms
  • Shared platform and internal developer platform experience
  • Backend programming with Java or Python
  • Cloud services and container orchestration
  • AI/LLM system building blocks knowledge
  • Authentication and authorization controls
  • Cross-team collaboration with architecture and security

Nice-to-have

  • Platform thinking and systems design
  • Operational excellence and reliability engineering
  • Secure-by-design development practices
  • Analytical problem-solving skills
  • Collaborative mindset
  • Curiosity in emerging AI technologies

Key Requirements

  • 7-12 years software engineering experience
  • 7-12 years building or supporting shared platforms
  • 7-12 years backend programming experience
  • 5+ years cloud services and container experience
  • 2-3 years AI/LLM system experience
  • Valid U.S. work authorization without sponsorship

Work Rights

Must have valid U.S. work authorization without employer sponsorship

Tailored Resume

Cover Letter