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.
Job SummaryLPL Financial is seeking a highly technical and hands-on AI engineering leader to help design, build, and deploy next-generation AI solutions for our advisors and business partners.
This role is primarily an individual contributor position responsible for developing production-grade AI and machine learning capabilities while partnering closely with product, engineering, data, and business teams. The ideal candidate combines deep technical expertise in AI/ML and Generative AI with the ability to influence architecture, mentor engineers, and drive adoption of AI solutions across the enterprise.
This position offers the opportunity to shape LPL's AI platform strategy, build advisor-facing AI capabilities, and help establish engineering best practices for scalable, secure, and responsible AI. Over time, this role may provide leadership opportunities for a small team of AI engineers.
Design, develop, and deploy production-grade AI/ML solutions that support LPL Financial's business objectives and advisor experience.
Architect and build AI-powered applications using modern technologies such as LLMs, generative AI, agentic workflows, RAG architectures, and machine learning models.
Lead the end-to-end software engineering lifecycle for AI solutions, including design, development, testing, deployment, monitoring, and optimization.
Partner with Wealth Management, Operations, Risk, Marketing, Product, and Engineering teams to identify high-value AI use cases and translate business requirements into scalable technical solutions.
Develop and deliver AI-enabled products, platforms, and tools that improve advisor productivity, operational efficiency, and client experience.
Build and maintain cloud-native AI solutions utilizing AWS services, including Bedrock and related AI/ML technologies.
Design and implement APIs, microservices, and platform services that enable reusable and scalable AI capabilities across the enterprise.
Establish engineering best practices for AI development, model evaluation, deployment, observability, security, and responsible AI.
Collaborate with data, engineering, and architecture teams to ensure AI solutions are secure, compliant, performant, and aligned with enterprise standards.
Evaluate emerging AI technologies, frameworks, and tooling and recommend opportunities for adoption within LPL.
Provide technical leadership, mentoring, and architectural guidance to engineers and contribute to the growth of a future AI engineering team.
Present technical solutions, architecture decisions, and AI innovation opportunities to business and technology stakeholders.
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 8 years of software engineering, AI/ML engineering, or machine learning development experience, with a proven track record of building and deploying production AI solutions in complex enterprise environments.
Strong hands-on programming expertise in Python and experience with modern AI/ML frameworks such as TensorFlow, PyTorch, scikit-learn, LangChain, or similar technologies.
Experience designing, developing, and deploying Generative AI and machine learning solutions, including LLM-based applications, NLP, RAG architectures, AI agents, model serving, or related AI technologies.
Strong cloud engineering experience with AWS, Azure, or GCP, including experience deploying scalable AI/ML workloads and cloud-native applications.
Experience working in highly regulated industries such as Wealth Management, Financial Services, Banking, FinTech, Insurance, Healthcare, or similar environments with strong governance, security, risk, and compliance requirements.
Deep understanding of machine learning concepts including supervised learning, unsupervised learning, deep learning, NLP, recommendation systems, and predictive analytics.
Experience delivering AI solutions from concept through production deployment, monitoring, and optimization.
Strong software engineering fundamentals, including APIs, microservices, scalable architectures, testing, and CI/CD practices.
Experience partnering with product, engineering, and business stakeholders to translate business requirements into technical solutions.
Knowledge of responsible AI principles, model governance, security, privacy, and risk management.
Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
Demonstrated technical leadership, mentoring, and influence across cross-functional teams.
Strong problem-solving, architectural design, and decision-making skills.
Preferences:
Experience building advisor-facing, customer-facing, or employee-facing AI products.
Financial Services, Wealth Management, Brokerage, Asset Management, or FinTech experience.
Experience with AWS AI services such as Bedrock, SageMaker, Textract, Comprehend, or related AI platforms.
Experience with vector databases, embeddings, RAG, knowledge graphs, agentic AI, and LLM orchestration frameworks.
Experience with MLOps, model lifecycle management, observability, and monitoring.
Experience with big data technologies such as Spark, Hadoop, Databricks, or large-scale data platforms.
Experience with AI governance, model validation, and regulatory compliance programs.
Master's degree in Computer Science, Engineering, Data Science, Statistics, or a related quantitative field.
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Statistics, or a related quantitative field. Ph.D. preferred.
Pay Range:
$133,600.00 - $222,600.00Actual 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
- At least 8 years of software engineering, AI/ML engineering, or machine learning development experience building and deploying production AI solutions in complex enterprise environments
- Strong hands-on programming expertise in Python
- Experience with modern AI/ML frameworks such as TensorFlow, PyTorch, scikit-learn, LangChain, or similar technologies
- Experience designing, developing, and deploying generative AI and machine learning solutions, including LLM applications, NLP, RAG architectures, AI agents, or model serving
- Strong cloud engineering experience with AWS, Azure, or GCP, including scalable AI/ML workloads and cloud-native applications
- Experience working in highly regulated industries with governance, security, risk, and compliance requirements
- Understanding of supervised learning, unsupervised learning, deep learning, NLP, recommendation systems, and predictive analytics
- Experience delivering AI solutions through production deployment, monitoring, and optimization
- Strong software engineering fundamentals, including APIs, microservices, scalable architectures, testing, and CI/CD
- Experience translating business requirements into technical solutions with product, engineering, and business stakeholders
- Knowledge of responsible AI, model governance, security, privacy, and risk management
- Strong communication, problem-solving, architectural design, and decision-making skills
- Demonstrated technical leadership, mentoring, and cross-functional influence
- Experience building advisor-facing, customer-facing, or employee-facing AI products
- Financial Services, Wealth Management, Brokerage, Asset Management, or FinTech experience
- Experience with AWS AI services such as Bedrock, SageMaker, Textract, or Comprehend
- Experience with vector databases, embeddings, RAG, knowledge graphs, agentic AI, and LLM orchestration frameworks
- Experience with MLOps, model lifecycle management, observability, and monitoring
- Experience with Spark, Hadoop, Databricks, or large-scale data platforms
- Experience with AI governance, model validation, and regulatory compliance programs
- Bachelor's or master's degree in Computer Science, Engineering, Data Science, Statistics, or a related quantitative field
- Ph.D. in a related quantitative field
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.
-
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.
-
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.
-
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.
.jpeg)
.png)
