AVP, AI Solutions Engineer

LPL Financial

. Embed AI-first and ML engineering principles into SDLC, ensuring intelligent automation and predictive capabilities are considered from design through deployment.

Posted 5/22/2026full-timeNew York City • New York, Texas • 🇺🇸 United StatesLead💰 $146,900 - $244,900 per yearWebsite

Tech Stack

Tools & technologies

AngularAWSCloudMicroservices.NETPythonRayRPASDLC

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

5+ years of experience in software development with a strong focus on AI/ML integration and intelligent automation.
3+ years of hands-on experience building agentic AI solutions and multi-agent orchestration workflows.
5+ years of proficiency in: Backend: Python (FastAPI), .NET Core. Frontend: Angular for UI integration.
3+ years of experience with AWS Agent core, AWS Bedrock, SageMaker, Lambda, Fargate, Step Functions, EventBridge, Glue, S3.
3+ years of strong understanding of ML engineering practices, including model lifecycle management and AI-first SDLC integration.

Benefits

Comp & perks

401K matching
health benefits
employee stock options
paid time off
volunteer time off

ATS Keywords

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Hard Skills & Tools

PythonFastAPI.NET CoreAngularAWS EventBridgeAWS LambdaAWS Step FunctionsAWS BedrockUiPathRPA

Soft Skills

collaborationproblem-solvingadaptabilitycommunicationleadership