VP, AI Platform Engineering
Will be responsible for building and operating LPL Financial's enterprise AI platform that enables teams to develop and run reliable, secure, and governed AI and agent-based systems at scale.
Key Responsibilities
AI Runtime & Agent Orchestration Platform
- Design and operate the runtime infrastructure that supports AI-driven applications and agents.
- Agent execution frameworks for multi-step workflows
- Orchestration of model calls, tools, and knowledge retrieval
- State management for long-running AI workflows
- Human-in-the-loop execution patterns
- Support for multi-agent coordination and automation
Model Access & AI Service Layer
- Provide a standardized and governed way for engineering teams to interact with AI models.
- Model gateway and routing across AI providers
- Model versioning and lifecycle management
- Token management and cost controls
- Consistent APIs for model access across applications
Enterprise Knowledge & Retrieval Infrastructure
- Build the shared infrastructure that enables AI systems to safely access enterprise knowledge.
- Document ingestion and indexing pipelines
- Embedding and retrieval services
- Vector and graph-based knowledge systems
- Secure access controls for enterprise data
Tool Execution & Integration Framework
- Enable AI systems to interact safely with enterprise services and applications.
- Secure tool registry for AI agents
- Integration with internal APIs and enterprise systems
- Authorization and policy enforcement for agent actions
- Safe execution of automated workflows
Safety, Governance & Control
- Establish the runtime safeguards required to operate AI systems in regulated environments.
- Prompt and input validation
- Guardrails for agent decision-making
- Policy enforcement for sensitive operations
- Compliance controls and auditability
Observability, Reliability & Cost Management
- Ensure AI systems can be operated reliably at scale.
- Tracing and monitoring for AI workflows
- Evaluation and quality monitoring
- Usage tracking and cost telemetryIncident response and operational tooling
What are we looking for?
We’re looking for strong collaborators who deliver exceptional client experiences and thrive in fast‑paced, team‑oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.
Requirements
- Minimum of 12 years software engineering experience
- Minimum of 5 years leading platform or infrastructure engineering teams
- Experience in distributed systems and cloud platforms
- Experience with modern AI systems such as LLMs, RAG architectures, or agent workflows
- Experience running large-scale production systems
Core Competencies
- Experience building internal developer platforms or infrastructure services
- Experience building ML or AI platforms
- Experience operating systems in regulated or enterprise environments
- Experience establishing and growing high performing teams
- Strong mentorship skillset
- Executive presence and ability to translate technology to business value
Pay Range
$163,875−$273,125/year. Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play – such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more.
Principals only. EOE.