AVP, Full Stack Engineer – AI/GenAI.

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.

Job Overview:
As an AVP, Full Stack Developer, you will be a key contributor to designing, developing, and maintaining scalable, cloud-native applications, including solutions that incorporate AI and Generative AI capabilities. You will work across the full software development lifecycle, building modern user experiences, APIs, microservices, and AI-enabled workflows that solve business problems. This role requires strong software engineering fundamentals along with hands-on experience leveraging LLMs, AI services, and agentic technologies within enterprise applications.
Responsibilities:

• Design, develop, and maintain scalable full-stack applications using modern front-end frameworks such as React or Angular and back-end technologies such as C#, Java, or Python.
• Build and integrate AI/GenAI capabilities into enterprise applications using LLMs, APIs, AI services, and agentic workflows.
• Design and implement RESTful APIs, microservices, and cloud-native services, integrating applications with AI models and enterprise data sources.
• Develop solutions utilizing concepts such as prompt engineering, RAG, embeddings/vector search, tool/function calling, and AI agents, where appropriate.
• Partner with product owners, architects, business analysts, and engineering teams to translate business requirements into scalable technical and AI-enabled solutions.
• Write clean, secure, maintainable, testable code and participate in code reviews, automated testing, CI/CD, and engineering best practices.
• Evaluate and leverage AI-assisted development tools such as GitHub Copilot, Cursor, or similar tools to improve development productivity and code quality.
• Troubleshoot application and AI-integrated production issues, perform root cause analysis, and improve application reliability, performance, and observability.
• Mentor engineers and contribute to technical direction, engineering standards, and the responsible adoption of emerging AI technologies.

AI & GenAI Engineering Expectations

• Hands-on experience integrating LLMs or Generative AI capabilities into applications, rather than solely using AI productivity tools.
• Experience working with enterprise AI services or platforms such as AWS Bedrock, Azure OpenAI, Amazon SageMaker, or comparable technologies.
• Understanding of prompt engineering, RAG, embeddings, vector databases/search, function/tool calling, and agentic AI patterns.
• Ability to develop and integrate AI services through APIs, SDKs, and microservices within existing enterprise applications.
• Understanding of AI security, privacy, responsible AI, model evaluation, observability, and production considerations.
• Experience with AI-assisted software development tools such as GitHub Copilot, Cursor, or similar platforms.

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:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Minimum of 7 years of progressive software engineering experience, with strong hands-on full-stack application development experience.
• Strong development experience with a modern front-end framework such as React or Angular and at least one back-end language such as C#, Java, or Python.
• Demonstrated experience designing and developing APIs, microservices, and cloud-native applications, preferably within AWS.
• Hands-on experience integrating AI/Generative AI capabilities into software applications, including experience with LLM APIs/services and familiarity with RAG, prompt engineering, vector search/embeddings, or AI agents.

Core Competencies:

• Experience with AWS, including services supporting modern application and AI architectures such as Bedrock, Lambda, API Gateway, EKS, and related services.
• Experience with relational and/or NoSQL databases and familiarity with vector databases or semantic/vector search.
• Experience with Docker, Kubernetes, CI/CD, automated testing, observability, and DevOps practices.
• Understanding of enterprise AI considerations including security, privacy, responsible AI, model evaluation, monitoring, and production reliability.
• Financial services experience is preferred.
• Experience in the financial services industry is a plus.

** This is a hybrid role, requiring onsite presence at our Charlotte/Fort Mill or NYC/Midtown office 2–3 days per week, as much of the team and leadership are based there.

 

Pay Range:

$140,500.00 - $234,100.00
 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