Distinguished Architect, Artificial Intelligence

LPL Financial • Austin, TX

99d • $183,400 - $305,600

About The Position

At LPL Financial, our Architecture Team sits at the very center of strategy and transformation. We partner across business, product, and technology to design the blueprints that shape the future of wealth management. By setting standards, frameworks, and patterns, we enable the enterprise to innovate with speed while ensuring resilience, scalability, and regulatory compliance. As LPL expands its investment in Artificial Intelligence, the Architecture Team plays a pivotal role in defining how AI/ML, agentic AI, and advanced analytics are responsibly and effectively adopted. From giving advisors smarter insights, to automating compliance, to delivering more personalized investor experiences, AI is central to how we redefine wealth management. Joining the Architecture Team today means influencing enterprise-wide decisions, building sustainable frameworks for innovation, and seeing your work directly impact millions of clients and advisors. Here, architecture is not just about technology design — it’s about shaping the future of financial advice.

Requirements

• 15+ years in enterprise technology and architecture, with 7+ years in AI/ML/advanced analytics.
• Experience participating in or leading AI governance councils, model risk committees, or equivalent regulatory forums.
• Proven expertise with AI agent frameworks (LangChain, AutoGen, CrewAI, or equivalent) and multi-agent system design.
• Strong track record designing AI/ML systems in regulated industries (financial services strongly preferred).
• Strong understanding of wealth management, trading, or securities domains, with ability to link AI to advisor and investor value.
• Graduate degree in Computer Science, AI, Data Science, or related field preferred.

Nice To Haves

• Financial services experience, especially in wealth management, advisory, or trading.
• Demonstrated thought leadership in responsible AI or agentic AI (publications, regulatory engagement, industry consortiums).
• AWS/Azure cloud certifications with AI/ML specialization.

Responsibilities

• Establish LPL’s enterprise AI strategy and roadmap, including adoption of agentic AI to augment advisor workflows, automate servicing, and enable proactive client engagement.
• Define and govern architecture principles for AI adoption — spanning data platforms, ML pipelines, generative AI, and multi-agent systems.
• Serve as a core member of the AI Governance Council, shaping enterprise-wide standards for responsible, ethical, and compliant AI adoption.
• Partner closely with product, engineering, and data leaders to identify and scale the highest-value AI use cases in wealth management.
• Act as a trusted advisor to senior executives on AI opportunities, risks, ethics, and implementation trade-offs.
• Develop enterprise AI reference architectures, patterns, and guardrails — including multi-agent orchestration, reasoning frameworks, and AI safety controls.
• Contribute to the design and enforcement of LPL’s AI governance framework through active participation in the AI Governance Council.
• Partner with business and product leaders to prioritize AI opportunities such as advisor copilots, agent-based onboarding, autonomous compliance monitoring, and personalized financial insights.
• Drive enterprise adoption of explainability, bias monitoring, risk assessment, and regulatory compliance frameworks for both predictive models and autonomous agents.
• Collaborate across domains — including data, infrastructure, application, and security architecture — to enable secure, scalable deployment of AI and agentic systems.
• Ensure AI/agentic AI solutions are represented in enterprise blueprints and align with LPL’s modernization strategy.
• Evangelize LPL’s AI strategy internally and externally, representing the firm in regulatory, industry, and client-facing forums.

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees