Are you excited about turning emerging AI technology into practical, usable solutions for engineers? At LPL Financial, we're building modern AI capabilities that are safe, scalable, and easy to adopt. In this role, you'll help engineering teams move faster by creating reusable tools, templates, and examples that simplify how AI is built and delivered across the organization. Job Overview As an AI Platform Enablement Analyst, you will help engineering teams adopt AI effectively by building the foundational tools, starter kits, and reference implementations that make AI development easier and more consistent. You'll work at the intersection of platform engineering and application development, focusing on hands-on engineering and developer experience. Your work will directly impact how quickly teams can design, build, and ship AI-enabled products. Responsibilities • 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 Requirements • 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. #LI-Hybrid Pay Range: $115,141-$191,902/year Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play - such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!