AVP, Principal AI Engineer

LPL Financial

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Fort Mill, NCCharlotte, NCAustin, TX
Salary
$133,600–$222,600 / yr
Posted
6 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $194k
This role $178k
$122k most similar roles pay here $243k

This role pays less than 56% of similar roles. Most pay $157,200–$231,037 — the shaded band above. At the midpoint, this role pays about $178k versus about $194k for comparable roles.

Based on 240 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 62 open roles on FindRole.

Listed pay typically runs $140,500–$234,100 across 56 roles with salary data.

Most-posted roles

View all roles at LPL Financial

At a glance

TL;DR · AVP, Principal AI Engineer

As an AVP, Principal AI Engineer, you will serve as a technical leader and individual contributor focused on designing, building, and deploying production-grade AI and machine learning solutions. You will develop advisor-facing capabilities, manage the end-to-end software engineering lifecycle, and establish best practices for model evaluation, security, and responsible AI. The role involves architecting applications using LLMs, generative AI, agentic workflows, RAG architectures, and microservices within a cloud-native environment. Key technologies include Python, TensorFlow, PyTorch, scikit-learn, LangChain, and AWS services like Bedrock and SageMaker. You will solve complex problems in the highly regulated wealth management and financial services sector by translating business requirements into scalable technical solutions. Your work will focus on improving advisor productivity and operational efficiency while ensuring all AI implementations remain compliant with strict industry governance and risk standards.

What does a AI Engineer earn?

Median $211200 from 142 postings across 39 companies.

See salary data

What you'll do

  • Design, develop, and deploy production-grade AI/ML solutions using LLMs, generative AI, and RAG architectures.
  • Build and maintain cloud-native AI solutions utilizing AWS services like Bedrock and related technologies.
  • Manage the end-to-end software engineering lifecycle including design, testing, deployment, monitoring, and optimization.
  • Translate business requirements from various departments into scalable technical solutions for advisor and client experience.
  • Establish engineering best practices for model evaluation, observability, security, and responsible AI.
  • Develop APIs, microservices, and platform services to provide reusable AI capabilities across the enterprise.
  • Evaluate emerging AI technologies and frameworks to recommend opportunities for adoption within the company.
  • Provide technical leadership, mentoring, and architectural guidance to engineers and stakeholders.

What we're looking for

  • Minimum of 8 years of software engineering, AI/ML engineering, or machine learning development experience in enterprise environments.
  • Proficiency in Python and modern AI/ML frameworks such as TensorFlow, PyTorch, scikit-learn, or LangChain.
  • Experience designing and deploying Generative AI solutions, including LLM-based applications, RAG architectures, and AI agents.
  • Strong cloud engineering experience with AWS, Azure, or GCP for deploying scalable AI/ML workloads.
  • Experience working in highly regulated industries such as Financial Services, Banking, or Healthcare.
  • Expertise in software engineering fundamentals including APIs, microservices, and CI/CD practices.
  • Knowledge of responsible AI principles, model governance, security, and risk management.
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Statistics, or a related field (Ph.D. preferred).

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