below marketmost similar roles pay hereabove market
This role pays less than
64%
of similar roles. Most pay
$193,935–$258,250
— the blue band above.
At the midpoint, this role pays about
$208k
versus about
$226k
for comparable roles.
Based on 240 similar postings.
Employer
About LPL Financial
LPL Financial is the largest independent broker-dealer in the United States, providing brokerage and investment advisory services to independent financial advisors and financial institutions. Industry: Financial Services & Wealth Management
LPL Financial currently has
101 open roles
on FindRole.
Listed pay typically runs
$122,673–$204,455
across 55 roles with salary data.
The Principal AI Architect will lead the design, building, and governance of a centralized AI Hub platform to enable secure, scalable, and compliant AI adoption across business domains. This role involves defining end-to-end architecture for model access, agent orchestration, prompt management, and data access layers. You will build core platform services including LLM gateways, MCP and A2A gateways, and audit monitoring systems. Key responsibilities include leading experimentation for Generative AI, RAG, and Multi-Agent solutions while implementing MLOps and LLMOps capabilities. Required skills include expertise in cloud-native architectures, APIs, microservices, and distributed systems. You will utilize technologies such as AWS, Kubernetes, Bedrock, DynamoDB, Python, and Java to solve complex enterprise challenges, ensuring security-by-design through RBAC, PII protection, and AI guardrails.
Architect and lead the centralized Enterprise AI Hub platform to provide shared AI capabilities across all business domains.
Define reference architectures for Generative AI, Agentic AI, RAG, and Multi-Agent solutions.
Design and govern core platform services including model registries, LLM gateways, and prompt management systems.
Design the data access layer to provide secure, scalable access to structured and unstructured data sources.
Lead experimentation and proof-of-concept efforts to evaluate and transition emerging AI models into production-ready capabilities.
Implement AI Platform Engineering, MLOps, and LLMOps capabilities for model onboarding, deployment, and lifecycle management.
Embed security-by-design principles including PII protection, AI guardrails, and identity propagation across all AI workloads.
Architect AI observability systems for usage analytics, lineage tracking, cost management, and compliance reporting.
What we're looking for
10+ years of experience in Enterprise Architecture, Software Engineering, Platform Architecture, or Distributed Systems.
3+ years of experience designing and implementing AI, Machine Learning, Generative AI, or Agentic AI platforms.
3+ years of experience architecting and implementing AI/ML systems and data access layers, including building or configuring platform services.
5+ years of experience with cloud-native architectures, APIs, microservices, event-driven systems, platform engineering, and scalable distributed applications.
Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field (preferred).
Strong expertise with AWS cloud services, Kubernetes/EKS, API Gateway, Bedrock, DynamoDB, and security frameworks (preferred).
Experience with MLOps, LLMOps, model registries, prompt management, deployment automation, and AI monitoring platforms (preferred).
Proficiency in Python, Java, APIs, containers, Infrastructure-as-Code, and modern DevSecOps practices (preferred).
AI
Agentic Systems
Model Serving
Multi-model Orchestration
AWS
GCP
Azure
API
MCP
infrastructure-as-code
FinOps
Responsible AI
Model Evaluation
Guardrails
AI
LLM
Agentic Workflows
Vector Search
AI Orchestration
Distributed Systems
APIs
Cloud-Native
Data Platforms
AI Governance
Observability
Security
Privacy
Compliance
AI Security
Generative AI
LLM
RAG
Azure
Cloud Security
Identity and Access Management
Application Security
Network Security
API Security
Threat Modeling
Secrets Management
Data Protection
Logging and Monitoring
MCP
AI Observability
Model Governance
Prompt Security
AI Security
Generative AI
LLM
RAG
Microsoft Azure
Cloud Security
Identity and Access Management
Application Security
Network Security
API Security
Threat Modeling
Secrets Management
Data Protection
Logging and Monitoring
Prompt Security
AI Observability
MCP
SaaS