VPII, Agentic AI/ML Engineering Leader

LPL Financial is committed to empowering advisors and their clients with technology that delivers efficiency, insight, and growth. We are seeking a proven leader to serve as VPII, AI/ML Engineering, responsible for accelerating LPL’s ability to unlock business value through artificial intelligence and machine learning.

This role will lead the design, build, and scaling of our AI/ML platform and reusable AI capabilities, while also overseeing solution delivery teams that transform these capabilities into client- and advisor-facing value. The ideal candidate will have a track record of rapidly delivering AI/ML-driven business outcomes at scale, demonstrating measurable P&L impact, and driving transformation in regulated industries.

Key Responsibilities

Strategic Leadership & Business Value

• Define and deliver LPL’s AI/ML enterprise engineering strategy, ensuring alignment with advisor, client, and enterprise needs.
• Partner with LPL business leaders to identify, articulate and prioritize AI/ML initiatives that enhance client experience, operational efficiency, and competitive differentiation.
• Act as a champion for AI adoption, articulating ROI and business impact at the executive level.

Team & Delivery Leadership

• Drive and build our our high-performing AI and ML Engineering team, focusing efforts on continuous learning and delivery of the latest AI technologies tied to business growth, operational efficiency and reduction in cost to serve.
• Foster a culture of collaboration, accountability, speed, and innovation while establishing and maintaining strong engineering standards and governance.
• Deliver AI/ML solutions that create measurable improvements in data value, partnering with upstream data technology teams to organize and provide feedback on data product development and use.

Platform Engineering & Core Capabilities

• Lead the development and scaling of LPL’s AI/ML foundational platforms, expanding the use of AWS SageMaker and Bedrock capabilities while exploring multi-cloud/hybrid options based on demand/need. Experience in multi-cloud environments preferred.
• Integrate Knowledge Graphs to enhance semantic understanding, contextual reasoning, and relationship mapping across enterprise data assets. 
• Implement and optimize Vector Stores to support GenAI Retrieval-Augmented Generation (RAG) architectures, enabling scalable and performant semantic search and document retrieval. 
• Explore and deploy Multi-Agent Orchestrationframeworks to coordinate specialized AI agents for complex task execution and dynamic decision-making.
• Expand MLOps and ML platform capabilities to ensure compliant, scalable delivery of AI tooling and model management automation, learning and governance in partnership with infosec and compliance teams.
• Deliver Agentic Framework and AI Agents to deliver intelligent, automated workflows that directly impact advisor productivity and client outcomes.
• Establish a library of reusable AI assets/capabilities that can be applied across business lines to accelerate innovation, including OpenAI/GPT orsimilar APIs, Hugging face model hub or prebuilt models for common tasks such as parsing and summarizing data assets; reducing time to value and duplication.
• Partner across Data Technology to access and further develop strategy to expedite delivery of scalable reliable data storage, querying, preparation and ability to handle large data volumes and future storage for model reuse.
• Collaborate with the Chief Data & AI Officer (CDAO) function to influence product roadmaps and empower product owners to embed AI features into 2026 and 2027 product plans.

Governance, Data, and Security

• Ensure alignment with LPL’s data management, information security, and data product strategies.
• Build AI features and solutions that meet or exceed regulatory and compliance standards critical to financial services.
• Establish frameworks for ethical, transparent, and responsible AI adoption.

Qualifications

• Proven success leading large-scale AI/ML engineering initiatives that delivered measurable business value in regulated industries.
• Demonstrated ability to deliver rapid execution and scaling of AI/ML platforms, including reusable asset libraries.
• Deep expertise in modern tech stacks (AWS, Snowflake, LangGraph, LangChain, Bedrock) and MLOps frameworks.
• Strong knowledge of data management, information security, and financial data product strategies.
• Track record of driving P&L impact and clearly articulated ROI from AI/ML initiatives.
• Exceptional communication skills, with the ability to influence both technical and business leaders.
• Advanced degree in Computer Science, Engineering, Data Science, or related field preferred.

Preferred Attributes

• Experience in financial services or wealth management, with understanding of compliance, security, and client trust.
• Ability to balance engineering excellence and innovation with regulatory requirements.
• Visionary leadership paired with urgency in technical execution.

 

Pay Range:

$186,525-$310,875/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. LPL supports over 29,000 financial advisors and the wealth-management practices of 1,100 financial institution, servicing and custodying approximately $1.9 trillion in brokerage and advisory assets on behalf of approximately 7 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.

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.

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