LPL Financial · 1 month ago
AVP – AI Solutions Engineer
LPL Financial is among the fastest growing wealth management firms in the U.S., empowering professionals to shape their success while helping clients pursue their financial goals. They are seeking a highly skilled AI Solutions Engineer to design and implement AI solutions on the LPL Data Experience platform, focusing on automation and intelligent workflows.
FinanceFinancial Services
Responsibilities
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 EventBridge, Lambda, and Step Functions for real-time orchestration
Deploy and manage LLMs (Claude, GPT, Amazon Titan) via AWS Bedrock and integrate RAG pipelines using LangChain or Haystack
Build knowledge bases and embedding models for contextual reasoning using vector databases (Pinecone, OpenSearch)
Apply memory management techniques for multi-agent orchestration (short-term and long-term memory persistence)
Ensure observability and reliability using AWS CloudWatch, 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
Qualification
Required
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
Proficiency in: Frontend: Angular for UI integration
Experience with AWS Agent core, AWS Bedrock, SageMaker, Lambda, Fargate, Step Functions, EventBridge, Glue, S3
Strong understanding of ML engineering practices, including model lifecycle management and AI-first SDLC integration
Preferred
Familiarity with LLMs (Claude, GPT, Titan) and RAG pipelines using LangChain, 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 (CloudWatch, Dynatrace, X-Ray)
Experience leveraging AI-powered developer tools (Cursor, GitHub Copilot)
Experience building automation frameworks using UiPath or RPA tools (nice to have)
Benefits
401K matching
Health benefits
Employee stock options
Paid time off
Volunteer time off
Company
LPL Financial
LPL Financial provides investment solutions and tools for independent financial advisors.
H1B Sponsorship
LPL Financial has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (106)
2024 (105)
2023 (122)
2022 (127)
2021 (65)
2020 (44)
Funding
Current Stage
Public CompanyTotal Funding
$2.5B2025-03-31Post Ipo Equity· $1.5B
2024-06-03Post Ipo Debt· $1B
2010-11-18IPO
Recent News
2026-01-12
Investment News
2026-01-11
2026-01-09
Company data provided by crunchbase