VP, AI Innovation & Enablement Leader

LPL Financial

Quick summary

Work type
On-site
Location
Fort Mill/CharlotteSan Diego, CANew York, NY
Salary
$163,900–$273,100 / yr
Posted
4 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $212k
This role $218k
$151k most similar roles pay here $286k

This role pays more than 51% of similar roles. Most pay $177,900–$246,150 — the shaded band above. At the midpoint, this role pays about $218k versus about $212k for comparable roles.

Based on 239 similar postings.

Employer

About LPL Financial

LPL Financial is the largest independent broker-dealer in the United States, providing brokerage and investment advisory services to independent financial advisors and financial institutions. Industry: Financial Services & Wealth Management

LPL Financial currently has 31 open roles on FindRole.

Listed pay typically runs $135,960–$226,600 across 31 roles with salary data.

Most-posted roles

View all roles at LPL Financial

At a glance

TL;DR · VP, AI Innovation & Enablement Leader

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The VP of AI Innovation & Enablement leads a team focused on identifying and implementing emerging AI technologies across the enterprise, ensuring that new capabilities are translated into practical engineering patterns for widespread adoption. This role involves maintaining awareness of the evolving AI ecosystem, developing prototypes to validate new approaches, and creating reusable assets like templates and frameworks to accelerate production system development. Key responsibilities include advising engineering teams on safe and reliable AI design, conducting internal workshops, and driving technical evangelism through showcases and hackathons. The ideal candidate has at least 10 years of experience in software or machine learning engineering, with a strong background in modern AI systems like LLMs and agent workflows, as well as the ability to communicate effectively across technical and leadership levels.

Skills

Python Java JavaScript LLMs RAG Agent workflows CI/CD Kubernetes Docker AWS Azure GCP PostgreSQL MongoDB Git GitHub Jenkins Prometheus Grafana Swagger RESTful APIs GraphQL

What you'll do

  • Maintain awareness of emerging AI technologies and techniques.
  • Develop prototypes to validate new AI approaches and create reusable patterns.
  • Translate experimentation into practical assets for production AI systems.
  • Guide engineering teams on adopting AI capabilities safely and reliably.
  • Drive internal adoption of AI through workshops, showcases, and hackathons.

What we're looking for

  • Minimum 10 years experience in software engineering or applied AI.
  • Experience designing modern AI systems like LLMs, RAG, and agent workflows.
  • Ability to translate experimentation into practical engineering patterns.
  • Advising engineering teams on safe and reliable AI system design.
  • Strong communication skills for engaging engineers and technical leadership.
  • Background in generative AI systems and evaluating emerging technologies.

Related searches

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