Where Ambition Meets Innovation
Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you’ll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.
Are you a hands-on engineer who enjoys designing platforms, shaping developer workflows, and reducing friction across the software delivery lifecycle? Are you excited by embedding AI and GenAI directly into how developers build, test, and ship software? If so, LPL Financial offers an opportunity to work at the intersection of platform engineering, developer experience, and applied AI at enterprise scale.
We remain committed to the advisor-centered model and to expanding access to personalized financial guidance. At LPL, independence means advisors choose the business model, services, and technology that enable them to run their ideal practice — and we focus on supporting advisors so they can focus on their clients.
Job Overview
As AVP, Software Engineer, you will serve as a senior individual contributor and technical leader within the Developer Experience Platform and PDLC AI Enablement domain. This role focuses on two closely connected areas:
Internal Developer Platform (IDP) — delivering self-service automation, golden paths, and reference architectures. AI and GenAI enablement — providing production-ready RAG pipelines, agents, plugins, and AI-assisted development tools as first-class platform capabilities.
This role is intentionally hands-on. You will write production code, review pull requests, pair with engineers on AI prototypes, and shape platform and AI architecture. While you will influence teams, roadmaps, and executive stakeholders, this role does not include direct people management.
Responsibilities
Design, build, and evolve cloud-native platform services and AI/GenAI capabilities that improve developer productivity and software delivery outcomes.
Architect and deliver enterprise-grade AI solutions, including RAG and GraphRAG pipelines, multi-agent systems, LLM-powered developer tools, plugins, MCP tools, and reusable skills.
Drive Claude Suite adoption end-to-end, including claude.ai, Claude API, Claude Code, system prompt design, and context window management.
Lead large-scale Cursor AI integration, including workspace rules, .cursorrules governance, MCP server connections, and AI-assisted development workflows.
Build and operate LLM evaluation pipelines using RAGAS, LangSmith, and custom evaluation harnesses; implement AI observability such as tracing, hallucination detection, latency and token cost dashboards, drift monitoring, and guardrails.
Contribute to the build-out of the Internal Developer Platform, including Backstage plugin development, golden-path templates, and self-service portals for application, infrastructure, and architecture automation.
Participate in Agile ceremonies including Scrum events and PI Planning; collaborate with Product, Architecture, Security, and Platform partners on delivery planning and technical design.
Facilitate solution design sessions, technical demos, Lunch & Learn events, office hours, and developer community forums to share knowledge and address engineering pain points.
Translate developer feedback and partner team needs into scalable platform and AI capabilities.
Author and maintain technical documentation including design documents, runbooks, disaster recovery strategies, and release documentation in alignment with enterprise standards.
Develop and maintain web, API, and AI-enabled services, including secure coding practices, vulnerability remediation, testing, and CI/CD automation.
Partner closely with Architecture, Security, Cloud, DevSecOps, Quality Engineering, Compliance, and Release teams to define and promote reference architectures and best practices.
Embed DevSecOps and Responsible AI principles, including shift-left security, SAST/DAST integration, SBOM generation, software supply chain controls, and AI governance.
Track and improve platform adoption metrics, AI usage and quality indicators, and developer experience outcomes.
Present platform architecture, AI capabilities, and technical recommendations to senior leadership and executive stakeholders.
Continuously identify opportunities for automation and innovation that simplify workflows and enhance the developer experience across the enterprise.
We’re looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.
Requirements
10+ years of hands-on, end-to-end application development experience across .NET, Angular, React, TypeScript, and Python in cloud-hosted (AWS), microservice-based environments.
2–5+ years of hands-on experience delivering AI/ML and GenAI solutions in enterprise production environments.
2+ years experience with the Claude Suite, including claude.ai, Claude API, Claude Code, system prompt design, and context window management.
2+ years Architect-level experience with RAG and GraphRAG pipelines, including chunking strategies, embedding models, and vector stores such as Pinecone, pgvector, or Azure AI Search.
2+ years experience designing and implementing AI agents, including multi-agent orchestration, tool use, memory strategies, and agent communication protocols.
Core Competencies
Designing complete cloud solutions with consideration for scalability, security, data protection, disaster recovery, FinOps (including AI workload cost), and compliance.
API design expertise, including OpenAPI, GraphQL, versioning strategies, rate limiting, and gateway integration.
Experience with GitOps, blue-green and dark release deployment strategies, and Infrastructure as Code.
Track record of contributing to and scaling Internal Developer Platforms, including paved paths, golden paths, and self-service portals.
DevSecOps and InnerSource practices, including contribution models, discoverability, reuse, and security automation.
Commitment to automated testing, code quality, and continuous improvement using industry-standard tools and frameworks.
Clear written and verbal communication, with the ability to explain complex platform and AI concepts to technical and non-technical audiences.
Ability to influence cross-functional teams and senior stakeholders through technical expertise and collaboration rather than formal authority.
Preferences
Master’s degree in Computer Science or a related field.
AWS certifications (Developer, Solutions Architect, or equivalent).
Experience with graph databases such as Neo4j or Amazon Neptune.
Experience with OpenTelemetry custom instrumentation.
Familiarity with advanced prompt engineering patterns (e.g., React, SELF‑RAG) and model fine-tuning approaches
Experience working within Responsible AI and AI governance frameworks.
Demonstrated curiosity, adaptability, ownership mindset, and comfort working in fast-changing technical environments.
Experience with LLM orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, or AutoGen.
Pay Range:
$147,500.00 - $245,900.00Actual 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!
Company Overview:
LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com.
At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.
For further information about LPL, please visit www.lpl.com.
Join the LPL team and help us make a difference by turning life’s aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE.
Information on Interviews:
LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant’s bank or credit card. Should you have any questions regarding the application process, please contact LPL’s Human Resources Solutions Center at (855) 575-6947.
EAC 5.19.26
Skills Required
- 10+ years of hands-on application development experience
- 2-5+ years of AI/ML and GenAI solutions experience
- 2+ years experience with the Claude Suite
- 2+ years Architect-level experience with RAG and GraphRAG pipelines
- 2+ years experience designing and implementing AI agents
LPL Financial Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about LPL Financial and has not been reviewed or approved by LPL Financial.
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Retirement Support — Retirement programs include a company 401(k) match that is frequently highlighted as a strong component of total rewards. Feedback suggests these features meaningfully enhance long‑term financial value.
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Equity Value & Accessibility — An employee stock purchase plan with a meaningful discount and lookback is highlighted as accessible ownership. Feedback suggests the plan adds tangible upside beyond base salary.
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Parental & Family Support — Paid parental leave has been expanded alongside family‑building and adoption support. Feedback suggests these benefits compare well to large‑employer standards.
LPL Financial Insights
What We Do
Financial advice is changing, and at LPL Financial, we’re at the forefront. We’re building a future where advisors can—with no friction or complexity, as simple as turning the dials—pick the business model, services, technology, and product mix that best meet their clients’ needs. With one platform, one sign-on, and one team to call, you can take your business anywhere you want it to go. There are no limits to your growth, and we’ll partner with you every step of the way. Your greatness is our goal. LPL Financial is a leader in the retail financial advice market and the nation’s largest independent broker/dealer*. We serve independent financial advisors and financial institutions, providing them with the technology, research, clearing and compliance services, and practice management programs they need to create and grow thriving practices. LPL enables them to provide objective guidance to millions of American families seeking wealth management, retirement planning, financial planning and asset management solutions. LPL.com Securities and Advisory Services offered through LPL Financial. A registered investment advisor, Member FINRA/SIPC.
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