AI Enablement and Developer Experience

LPL Financial•Fort Mill, SC

3d•$115,154 - $191,889

About The Position

As an AI Platform Enablement Analyst at LPL Financial, you will help engineering teams adopt AI effectively by building foundational tools, starter kits, and reference implementations that make AI development easier and more consistent. Working at the intersection of platform engineering and application development, you will focus on hands-on engineering and developer experience. Your work will help teams design, build, and ship AI-enabled products more quickly. The role involves creating reusable SDKs, sample applications, developer tools, documentation, implementation guides, onboarding resources, and templates for common AI use cases. You will partner with product and engineering teams, gather feedback from early adopters, and support demos, workshops, hackathons, and other innovation initiatives. Success means engineers can get started with AI solutions without deep platform expertise, AI capabilities are trusted and easy to use, and reusable patterns improve consistency and quality while reducing duplicated effort. The position does not offer work authorization sponsorship now or in the future. Applicants must have valid U.S. work authorization that does not require employer sponsorship. The stated pay range is $115,154.00–$191,889.00; actual base salary varies based on relevant skills, experience, education, internal peer salaries, performance, and geographic location. LPL also mentions 401(k) matching, health benefits, employee stock options, paid time off, and volunteer time off.

Requirements

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; Python or Java is preferred.
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.
Developer enablement and platform thinking.
Problem solving and systems design.
Collaboration across engineering and product teams.
Continuous learning and improvement.
Focus on usability, reliability, and scalability.
Valid U.S. work authorization that does not require employer sponsorship; the position does not offer sponsorship now or in the future.

Responsibilities

Build reusable SDKs, sample applications, and reference implementations for 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 AI use cases such as chat assistants, summarization, retrieval-augmented generation (RAG), and agent-based workflows.
Partner with product and engineering teams to support adoption and promote consistent, scalable AI solutions.
Gather feedback from early adopters and continuously improve tools, documentation, and the overall developer experience.
Support internal demos, workshops, hackathons, and innovation initiatives that showcase AI capabilities.