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Open nowPosted yesterday

Distinguished Engineer, Trading

Little People's Landing299 open roles

Pay
$179,941 – $299,833 a year
Where
Fort Mill/Charlotte
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Your applicationOpen nowDistinguished Engineer, TradingLittle People's Landing · Fort Mill/Charlotte

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The clock on this job

Early applications get read.

13.4% of postings close within 7 days. Measured by our own scanner across the market. Little People's Landing postings stay open a median of 27 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: posted yesterday

Little People's Landing median: 27 days open

The posting

Lead with Purpose, Unlock Your Team's Passion

At LPL, people leaders hold the key to the employee experience - shaping culture, driving performance, and guiding individuals to new heights. Because when that happens, we all win - clients, LPL, and most importantly, our employees.

If you're ready to lead with intention and discover what's possible, LPL Financial invites you to apply today.

Shape how artificial intelligence transforms trading and wealth management at enterprise scale. LPL Financial is seeking an AI Distinguished Leader to define the vision, platforms, and responsible practices that bring AI-powered innovation to advisors, investors, and the teams that support them. This highly influential role combines deep financial-services technology expertise with the opportunity to modernize mission-critical platforms, create reusable enterprise capabilities, and turn emerging AI technologies into measurable business outcomes.

Job Overview

As the AI Distinguished Leader - Trading & Wealth Technology, you will serve as a strategic technology visionary responsible for driving the adoption, governance, and scale of artificial intelligence across LPL's trading, advisory, and wealth management platforms. You will partner with business executives, product leaders, architects, data scientists, engineers, risk, and compliance stakeholders to identify high-value opportunities, accelerate intelligent automation, and modernize critical platforms. The role spans Generative AI, Large Language Models, Agentic AI, machine learning, intelligent decision systems, data platforms, and cloud-native architecture within a regulated financial environment.

Responsibilities

  • Define and execute the enterprise AI vision and roadmap for trading, advisory, and wealth management platforms, aligned to business priorities and measurable outcomes.
  • Identify and prioritize AI opportunities that improve advisor productivity, client experience, operational efficiency, risk management, and business growth.
  • Champion scalable adoption of Generative AI, Agentic AI, machine learning, and advanced analytics, including the establishment of AI Centers of Excellence, governance frameworks, and reusable best practices.
  • Lead modernization of trading and investment platforms through AI-enabled automation, intelligent workflows, cloud-native architectures, and modern practices for resiliency, scalability, performance, and observability.
  • Establish reusable AI platform capabilities, APIs, data products, and services that accelerate delivery across business domains.
  • Guide architecture decisions across buy, build, and partner strategies while protecting long-term platform sustainability.
  • Partner with data and architecture teams to establish enterprise data foundations and use large-scale structured and unstructured data to generate actionable insights and business value.
  • Drive responsible AI practices, including model governance, security, explainability, compliance, and risk controls appropriate for regulated financial services.
  • Establish metrics and KPIs that measure AI effectiveness, business impact, operational improvement, and return on investment.
  • Build trusted relationships across executive leadership, product management, architecture, engineering, data, compliance, risk, and business teams; influence strategic decisions across organizational boundaries without relying on direct authority.
  • Communicate complex AI, engineering, and architecture concepts to executive leaders, boards, and technical audiences, and serve as a trusted advisor on emerging technology trends, competitive dynamics, and innovation opportunities.

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

  • 15 or more years of progressive technology leadership experience spanning software engineering, platform architecture, data engineering, AI/ML initiatives, and large-scale technology transformation, including 10+ years building and scaling engineering organizations.
  • Experience leading enterprise AI, digital transformation, or platform modernization initiatives within financial services, capital markets, wealth management, or FinTech.
  • Experience with trading systems, investment platforms, market data, wealth management technologies, and the regulatory considerations that shape those environments.
  • Experience across Generative AI, Large Language Models, Agentic AI, machine learning platforms, AI governance, data foundations, and cloud-native technologies.
  • Experience in being able to translate complex business challenges into AI-powered solutions, align senior stakeholders, influence without direct authority, and communicate effectively with executive, board, and technical audiences.

Core Competencies

  • Enterprise AI strategy and value realization
  • Trading and wealth technology modernization
  • Responsible AI, model governance, risk, and compliance
  • Platform architecture, data products, and cloud-native engineering
  • Executive influence, stakeholder alignment, and clear communication

Preferences

  • Experience establishing or scaling an AI Center of Excellence or federated enterprise AI operating model.
  • Experience creating reusable AI platforms, APIs, intelligent workflows, or decision services adopted across multiple business domains.
  • Experience leading modernization of mission-critical, high-volume trading or investment platforms in a complex regulated organization.

Pay Range:

$179,941.00 - $299,833.00

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 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

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