AI Enablement and Developer Experience

LPL Financial

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Fort Mill, SCCharlotte, NCAustin, TX
Employment
Full-time
Posted
68 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $191k
$137k $243k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $154,376–$228,237.

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 101 open roles on FindRole.

Listed pay typically runs $122,673–$204,455 across 55 roles with salary data.

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At a glance

TL;DR · AI Enablement and Developer Experience

The AI Platform Enablement Analyst joins the team to help engineering groups adopt AI by building foundational tools, starter kits, and reference implementations. This role focuses on developer experience and platform engineering, where the primary responsibility is creating reusable SDKs, sample applications, and templates for common AI use cases like chat assistants, summarization, retrieval-augmented generation, and agent-based workflows. The successful candidate will develop developer tooling for local testing, debugging, and deployment while translating platform capabilities into technical documentation and onboarding resources. Required skills include 7-12 years of experience developing backend services, APIs, or developer platforms using Python or Java, alongside 2-3 years of experience in AI or machine-learning-powered application development. The work solves the technical problem of making AI capabilities safe, scalable, and easy for internal teams to adopt.

What you'll do

  • Build reusable SDKs, sample applications, and reference implementations to support AI-enabled software development.
  • Create developer tooling for local development, testing, evaluation, debugging, and deployment of AI workloads.
  • Translate platform capabilities into technical documentation, implementation guides, and onboarding resources.
  • Develop templates and examples for common AI use cases like RAG and agent-based workflows.
  • Gather feedback from early adopters to continuously improve tools and the developer experience.
  • Support internal demos, workshops, and hackathons to showcase AI capabilities.

What we're looking for

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • 7-12 years experience developing backend services, APIs, or developer platforms.
  • Python or Java experience (preferred).
  • 7-12 years experience creating reusable libraries, SDKs, templates, or internal frameworks used by other engineers.
  • 2-3 years working knowledge of AI or machine-learning-powered application development.
  • Experience with developer enablement, platform thinking, and systems design.
  • Ability to translate platform capabilities into technical documentation and implementation guides.

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