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.

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.

Requirements

• 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.

Preferences

• 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).