AI Enablement and Developer Experience

LPL Financial

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Fort Mill, NCCharlotte, NCAustin, TX
Salary
$115,154–$191,889 / yr
Posted
22 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $188k
This role $154k
$101k most similar roles pay here $251k

This role pays less than 73% of similar roles. Most pay $151,000–$224,493 — the shaded band above. At the midpoint, this role pays about $154k versus about $188k 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 59 open roles on FindRole.

Listed pay typically runs $140,959–$234,882 across 54 roles with salary data.

Most-posted roles

View all roles at LPL Financial

At a glance

TL;DR · AI Enablement and Developer Experience

As an AI Platform Enablement Analyst within the AI Enablement and Developer Experience team, you will work at the intersection of platform engineering and application development to improve how internal teams build and deploy AI-enabled products. You will be responsible for creating reusable SDKs, sample applications, reference implementations, and developer tooling to support local development, testing, evaluation, debugging, and deployment of AI workloads. Your daily tasks include developing templates for common use cases like chat assistants, summarization, retrieval-augmented generation, and agent-based workflows while producing technical documentation and onboarding resources. The role requires proficiency in Python or Java, experience building internal frameworks, and a background in machine learning-powered application development. You will solve the problem of making complex AI capabilities safe, scalable, and easy for engineers to adopt through consistent tools and improved developer experiences.

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 use cases like chat assistants, summarization, RAG, and agent-based workflows.
  • Partner with product and engineering teams to promote consistent and scalable AI solutions.
  • Gather feedback from early adopters to improve tools, documentation, and the overall developer experience.
  • Support internal demos, workshops, hackathons, and innovation initiatives 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 of experience developing backend services, APIs, or developer platforms.
  • 7-12 years of experience creating reusable libraries, SDKs, templates, or internal frameworks used by other engineers.
  • 2-3 years of working knowledge of AI or machine-learning-powered application development.
  • Proficiency in Python or Java (preferred).

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