LPL Financial Logo

LPL Financial

VP, AI Platform Engineering

Posted Yesterday
Be an Early Applicant
In-Office
Austin, TX, USA
164K-273K Annually
Expert/Leader
In-Office
Austin, TX, USA
164K-273K Annually
Expert/Leader
The VP of AI Platform Engineering is responsible for building and operating LPL Financial's enterprise AI platform, ensuring reliability, safety, scalability, and governance of AI systems at scale.
The summary above was generated by AI

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.

Why This Role Matters

VP, AI Platform Engineering will be responsible for building and operating LPL Financial's enterprise AI platform that enables teams to develop and run reliable, secure, and governed AI and agent-based systems at scale.

Key accomplishments in the role include:

  • Building a high-reliability platform used by multiple engineering teams

  • Establish consistent engineering standards for AI development

  • Eliminate duplication of AI infrastructure across teams

  • Ensure AI systems operate safely within enterprise governance and regulatory constraints

  • Partner closely with architecture, security, and product engineering teams

Job Overview

This role leads the engineering organization responsible for building and operating the AI Hub platform—the runtime infrastructure that powers AI-enabled software across the enterprise.

The platform provides the control plane for AI systems, enabling teams to safely integrate large language models, build agent-based workflows, access enterprise knowledge, and execute automated actions through secure tools.

The focus of this role is production-grade engineering: reliability, safety, scalability, and operational governance of AI systems.

Key Responsibilities

AI Runtime & Agent Orchestration Platform

Design and operate the runtime infrastructure that supports AI-driven applications and agents. This includes:

  • Agent execution frameworks for multi-step workflows

  • Orchestration of model calls, tools, and knowledge retrieval

  • State management for long-running AI workflows

  • Human-in-the-loop execution patterns

  • Support for multi-agent coordination and automation

Model Access & AI Service Layer

Provide a standardized and governed way for engineering teams to interact with AI models. This include:

  • Model gateway and routing across AI providers

  • Model versioning and lifecycle management

  • Token management and cost controls

  • Consistent APIs for model access across applications

Enterprise Knowledge & Retrieval Infrastructure

Build the shared infrastructure that enables AI systems to safely access enterprise knowledge. This include:

  • Document ingestion and indexing pipelines

  • Embedding and retrieval services

  • Vector and graph-based knowledge systems

  • Secure access controls for enterprise data

Tool Execution & Integration Framework

Enable AI systems to interact safely with enterprise services and applications. This include:

  • Secure tool registry for AI agents

  • Integration with internal APIs and enterprise systems

  • Authorization and policy enforcement for agent actions

  • Safe execution of automated workflows

Safety, Governance & Control

Establish the runtime safeguards required to operate AI systems in regulated environments. This includes:

  • Prompt and input validation

  • Guardrails for agent decision-making

  • Policy enforcement for sensitive operations

  • Compliance controls and auditability

Observability, Reliability & Cost Management

Ensure AI systems can be operated reliably at scale. This include:

  • Tracing and monitoring for AI workflows

  • Evaluation and quality monitoring

  • Usage tracking and cost telemetry

  • Incident response and operational tooling

What are we looking for?

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:

  • Minimum of 12 years software engineering experience

  • Minimum of 5 years leading platform or infrastructure engineering teams

  • Experience in distributed systems and cloud platforms

  • Experience with modern AI systems such as LLMs, RAG architectures, or agent workflows

  • Experience running large-scale production systems

Core Competencies:

  • Experience building internal developer platforms or infrastructure services

  • Experience building ML or AI platforms

  • Experience operating systems in regulated or enterprise environments

  • Experience establishing and growing high performing teams

  • Strong mentorship skillset

  • Executive presence and ability to translate technology to business value


 

Pay Range:

$163,875-$273,125/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!
 

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 LPL Financial: Where Your Potential Meets Opportunity

At LPL Financial, we believe that everyone deserves objective financial guidance. As the nation’s leading independent broker-dealer, we offer an integrated platform of cutting-edge technology, brokerage, and investment advisor services.

Why LPL?

  • Innovative Environment: We foster creativity and growth, providing a supportive and responsive leadership team. Learn more about our leadership team here!

  • Limitless Career Potential: Your career at LPL has no limits, only amazing potential. Learn more about our careers here!

  • Unified Mission: We are one team on one mission—taking care of our advisors so they can take care of their clients. Learn more about our mission and values here!

  • Impactful Work: Our size is just right for you to make a real impact. Learn more here!

  • Commitment to Equality: We support workplace equality and embrace diverse perspectives and backgrounds. Learn more here!

  • Community Focus: We care for our communities and encourage our employees to do the same. Learn more here!

  • Benefits and Total Rewards: Our Total Rewards package goes beyond just compensation and insurance. It includes a mix of traditional and unique benefits, perks, and resources designed to enhance your life both at work and at home. Learn more here!

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.

EAC12.9.25

Top Skills

Agent Workflows
Ai Systems
Cloud Platforms
Distributed Systems
Llms
Rag Architectures

Similar Jobs

An Hour Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
100K-120K Annually
Senior level
100K-120K Annually
Senior level
Edtech • Kids + Family • Social Impact • Software
The Instructional Specialist, Multilingual Learning designs instructional frameworks, ensures content aligns with language standards, coaches internal teams, and leads research on multilingual education trends.
Top Skills: Digital Authoring ToolsGoogle Workspace
An Hour Ago
Remote or Hybrid
United States
99K-127K Annually
Senior level
99K-127K Annually
Senior level
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
The Sales Enablement GTM Readiness Lead drives product readiness and launch execution, ensuring sales teams are prepared with effective messaging, utilizing AI tools for enhanced efficiency, and partnering cross-functionally to optimize go-to-market strategies.
Top Skills: AICRMLms/CmsSalesforceSeismic
2 Hours Ago
Easy Apply
Hybrid
Austin, TX, USA
Easy Apply
104K-204K Annually
Expert/Leader
104K-204K Annually
Expert/Leader
Big Data • Cloud • Software • Database
Lead a global Talent Discovery team, optimizing hiring processes, leveraging data analytics, and implementing innovative sourcing strategies to meet MongoDB's ambitious hiring goals.
Top Skills: AIData Analytics

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account