AVP – AI Solutions Engineer

Job Overview

We are seeking a highly skilled Individual Contributor (IC) to design and implement agentic AI solutions on the LPL Data Experience (LDX) platform. This role is ideal for a self‑driven engineer who thrives in a fast‑paced environment, learns quickly, and delivers innovative solutions with minimal guidance.

You will build AI‑first, agentic frameworks that automate data governance, exception tracking, reconciliation processes, and lifecycle management across multiple domains. These solutions will integrate seamlessly into LDX, enabling users to review exceptions, configure rules, and visualize reconciliation results through intuitive UI components.

This is a hands‑on development role—you will own the design, coding, deployment, and optimization of AI‑driven workflows on AWS, leveraging modern orchestration frameworks, LLM‑based intelligence, and ML engineering practices integrated into the SDLC.

• Embed AI‑first and ML engineering principles into SDLC, ensuring intelligent automation and predictive capabilities are considered from design through deployment.
• Design and develop agentic AI solutions for:
  • Data governance tracking and compliance monitoring.
  • Exception detection and resolution across multiple data domains.
  • Reconciliation frameworks using rule‑based and AI‑driven logic.
  • Lifecycle management workflows for investor and operational domains.
• Build intelligent agents that apply rules or adaptive intelligence to automate exception handling and reconciliation.
• Develop APIs and microservices using Python (FastAPI) and .NET Core for agentic workflows.
• Integrate AI workflows with LDX UI components built in Angular for user review and configuration.
• Implement event‑driven architectures using AWS Event Bridge, Lambda, and Step Functions for real‑time orchestration.
• Deploy and manage LLMs (Claude, GPT, Amazon Titan) via AWS Bedrock and integrate RAG pipelines using Lang Chain or Haystack.
• Build knowledge bases and embedding models for contextual reasoning using vector databases (Pinecone, Open Search).
• Apply memory management techniques for multi‑agent orchestration (short‑term and long‑term memory persistence).
• Ensure observability and reliability using AWS Cloud Watch, X‑Ray, and Dynatrace.
• Implement security best practices (IAM, KMS, encryption) and compliance frameworks (SOC2, GDPR).
• Build automation frameworks using UiPath or RPA tools to complement AI‑driven workflows.
• Optimize for performance, scalability, and cost efficiency in AWS deployments.
• Stay current with emerging AI orchestration frameworks, LLM technologies, and cloud‑native patterns.

• 5+ years of experience in software development with a strong focus on AI/ML integration and intelligent automation.
• Hands‑on experience building agentic AI solutions and multi‑agent orchestration workflows.
• Proficiency in:
  • Backend:
    Python (FastAPI), .NET Core.
  • Frontend:
    Angular for UI integration.
• Experience with AWS Agent core, AWS Bedrock, Sage Maker, Lambda, Fargate, Step Functions, Event Bridge, Glue, S3.
• Strong understanding of ML engineering practices, including model lifecycle management and AI‑first SDLC integration.

• Familiarity with LLMs (Claude, GPT, Titan) and RAG pipelines using Lang Chain, Haystack, and vector databases.
• Strong understanding of data governance principles, lifecycle management, and compliance frameworks.
• Experience implementing security best practices for AI workflows.
• Hands‑on experience with Infrastructure as Code (Terraform) and CI/CD pipelines.
• Familiarity with observability tools (Cloud Watch, Dynatrace, X‑Ray).
• Experience leveraging AI‑powered developer tools (Cursor, Git Hub Copilot).
• Experience building automation frameworks using UiPath or RPA tools (nice to have).

$133,575-$222,625/year

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, LPL supports over 29,000 financial advisors and the wealth‑management practices of 1,100 financial institutions, servicing and custodying approximately $1.9 trillion in brokerage and advisory assets on behalf of approximately 7 million Americans.

• 401K matching
• Health benefits
• Employee stock options
• Paid time off
• Volunteer time off

LPL will only communicate with a job applicant directly from an 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.

Principals only. EOE.