Architect Principal

Pay range: USD $175,000.00 - $240,000.00 / Year

Your opportunity

At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together.

We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

Schwab's Enterprise Architecture team is in search of a dynamic director for driving AI adoption across Schwab Technology Services. Under the direction of our CTO, the Enterprise Architecture team is tasked with overseeing Schwab's critical systems that ensure compliance with regulatory mandates. As a key member of the Enterprise Architecture leadership team, you will be responsible to shape our centralized AI architecture governance, influence AI engineering patterns development, and collaborate on regulatory operational functions.

This is not a people leader role. Key responsibilities for this individual contributor include:

• Enterprise AI Adoption: Collaborate with Architecture, Governance, Risk Management, and STS delivery stakeholders to:
  • define and execute on the enterprise-wide AI adoption roadmap.
  • influence Schwab's AI strategy to adopt AI at scale while meeting regulatory
• Governance & Compliance: Collaborate with enterprise risk management teams to:

• Optimize the risk due diligence experience among enterprise risk management stakeholders and establish end-to-end guidance for implementing AI solutions
• define the requirements for evolving AI architecture governance processes, methods, and frameworks
• support enhancements to STS Standards and Risk controls for governing AI

• Bachelor's degree in computer science or a related discipline.
• 10+ years leading and managing architecture, consulting, and development teams, with demonstrated project management, resource management, consulting, and solution delivery capabilities.
• 2-5+ years of experience in AI architecture definition and practices, with a strong enterprise architecture background
• Experience with AI technologies, including Agentic AI, MCP, AI agents, and large language models (LLMs).
• Superior verbal and written communication abilities, with a talent for simplifying complex technical topics for varied audiences.
• Demonstrated experience managing multiple stakeholders across diverse workstreams and multiple levels of the organization.

• 401(k) with company match and Employee stock purchase plan
• Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
• Paid parental leave and family building benefits
• Tuition reimbursement
• Health, dental, and vision insurance