Principal AI Architect

24 days ago

Austin, TX, USA or New York, NY, USAStaff+

Base Salary

$156k - $260k/yr

Responsibilities

Architect and lead LPL’s centralized Enterprise AI Hub platform and shared AI capabilities.
Define reference architectures for Generative AI, Agentic AI, RAG, MCP, and multi-agent solutions.
Design and govern model, agent, prompt, and tool registries; LLM and AI access gateways; MCP and A2A gateways; and audit, monitoring, and compliance services.
Architect secure data access layers connecting structured and unstructured data, vector databases, knowledge stores, data lineage, and governance controls.
Lead AI experimentation, technical spikes, and proof-of-concept efforts through production implementation.
Lead AI Platform Engineering, MLOps, and LLMOps capabilities, including onboarding, deployment, monitoring, and lifecycle management.
Define standards for agent onboarding, communication, interoperability, model governance, security, privacy, guardrails, and auditability.
Govern AI observability, usage analytics, lineage, cost management, and compliance reporting.
Evaluate enterprise technologies for foundation models, AI gateways, agent frameworks, vector databases, and AI governance.
Collaborate with architecture, engineering, security, data, and product teams to align AI strategy with business objectives.
Influence AI roadmaps, technology investments, governance frameworks, and long-term strategy while mentoring architects and engineers.

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 hands-on platform services, integrations, and proof-of-concepts.
5+ years of experience with cloud-native architectures, APIs, microservices, event-driven systems, platform engineering, and scalable distributed applications.
Deep expertise in AI platform architecture, data access architecture, cloud architecture, and enterprise integration patterns.
Strong leadership, mentoring, communication, collaboration, architecture governance, and executive stakeholder influence skills.
Preferred expertise with AWS cloud services, Kubernetes/EKS, API Gateway, Bedrock, DynamoDB, security frameworks, and enterprise integration patterns.
Preferred experience with AI governance, security, compliance, observability, responsible AI controls, 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.
Bachelor’s or master’s degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field.

401(k) matching, health benefits, employee stock options, paid time off, and volunteer time off are offered.
The role is a regular position; no remote or in-office work arrangement is specified.
The posting states that the total rewards package is designed to support employees at work, at home, and at play.

10,000+ employees