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# AI Platform Enablement Analyst

- **Company:** LPL Financial
- **Location:** Charlotte, NC, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $115,154.0 - $191,889.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Computing Platforms, Software Debugging, Programming Tools, Python (Programming Language), Machine Learning, Software Engineering, Scripting, Backend, Information Technology
- **Published:** August 11, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-enablement-and-developer-experience-charlotte-nc--49a701d1-e829-444f-a97d-7d70a0a8ebcb

## About the Role

* 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. Preferred Python or Java
 * 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

Core Competencies

 * 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

Please note: This 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., Analysis Skills, Application Programming Interface (API), Artificial Intelligence (AI), Brokerage, Business Model, Business Services, Computer Science, Continuous Improvement, Customer Relationship Management (CRM), Customer Support/Service, Debugging Skills, Documentation, Emerging Technology, Financial Planning, Financial Services, Interviewing Skills, Java, Machine Learning, Onboarding, Problem Solving Skills, Product Demonstration, Product Engineering, Programming Tools, Python Programming/Scripting Language, Quality Management, Software Development, Software Engineering, Team Player, Technical Writing, Test Plan/Schedule, Usability Engineering, Use Cases, Wealth Management

## Description

* Build reusable SDKs, sample applications, and reference implementations to support AI-enabled software development
 * Create developer tooling that supports local development, testing, evaluation, debugging, and deployment of AI workloads
 * Translate platform capabilities into clear technical documentation, implementation guides, and onboarding resources
 * Develop templates and examples for common 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

What Success Looks Like

 * Engineers can quickly get started building AI solutions without needing deep platform expertise
 * AI capabilities are easier to use, easier to understand, and trusted by development teams
 * Reusable patterns reduce duplicated effort and improve consistency and quality across teams


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