Director, Applied AI/ML Platform Principal
Your Opportunity
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 Data is advancing the next-generation roadmap for AI and data science platforms, enabling scalable, secure, and governed capabilities across multiple business domains. This includes expanding predictive analytics platforms and generative AI capabilities on Cloud, supporting use cases such as customer analytics, risk analytics, internal productivity, and operational decisioning.
As part of this evolution, we are scaling AI/ML platform and engineering capabilities on Cloud to support broader adoption. This includes standardizing platform architecture, enabling reusable development and deployment patterns, strengthening model lifecycle capabilities, and integrating platform services to support both predictive and generative AI workloads in a regulated environment.
We are seeking an Applied AI/ML Platform Services Principal to provide senior technical leadership across AI/ML platforms and engineering. This role will drive cross-platform architecture, define engineering standards, and enable scalable, production-grade AI capabilities. That role partners closely with platform engineering, AI/ML engineering, and data & enterprise architecture teams to align delivery, improve engineering maturity, and accelerate AI adoption.
Position Responsibilities:
AI/ML Platform Architecture & Strategy
- Define and drive the architecture for AI/ML platforms and services spanning predictive and generative AI domains
- Establish standardized, reusable platform patterns to support scalable, reliable, and governed AI workloads
- Lead integration strategies that connect AI/ML capabilities across the broader enterprise data ecosystem
AI/ML Engineering Standards & Enablement
- Define and implement AI/ML engineering best practices across development, deployment, and lifecycle management
- Enable consistent and effective use of platform capabilities for model development and evaluation
- Partner closely with engineering teams to improve platform reliability, scalability, and operational maturity
Cross-Functional Technical Leadership
- Serve as a senior technical authority across platform engineering, AI/ML engineering, and architecture teams
- Drive alignment on platform direction, priorities, and execution across multiple organizations
- Influence key technical decisions related to platform evolution and AI/ML engineering practices
Platform Adoption & Delivery Acceleration
- Enable onboarding and scaling of AI use cases through standardized platform capabilities
- Identify and remove technical or process bottlenecks impacting delivery velocity and scalability
- Support high-priority AI initiatives through hands-on technical leadership and guidance
Governance, Risk, and Compliance Alignment
- Ensure AI/ML platforms align with enterprise governance, risk, and regulatory requirements
- Drive consistent implementation of controls across the AI/ML lifecycle and platform services
- Partner with risk, compliance, and control functions to support compliant, transparent, and auditable AI usage
What you have
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- 15+ years of experience in platform architecture/engineering, software engineering, or AI/ML engineering
- 5+ years operating at a Principal Engineer or equivalent senior technical leadership level
- Strong experience designing and scaling AI/ML platforms and services in cloud environments (GCP preferred)
- Hands-on experience with AI/ML platforms such as Vertex AI, Dataiku, SageMaker, or equivalent
- Deep understanding of the AI/ML lifecycle including model development, training, deployment, and monitoring
- Experience working within large-scale data ecosystems and integrating with data platforms
- Familiarity with distributed systems, platform architecture, and scalable service design
- Proven ability to define and implement engineering standards and platform patterns across teams
- Experience driving cross-functional technical alignment across multiple engineering groups
- Strong understanding of platform scalability, reliability, and operational excellence principles
- Demonstrated ability to reduce vendor dependency and build internal engineering capability
Preferred Qualifications:
- Experience in financial services or regulated environments
- Familiarity working within centralized data organizations (CDO structures)
- Experience supporting Data & AI platforms at scale
- Prior experience driving cloud-based platform expansion (GCP preferred)
- Strong background in cross-domain platform integration and architecture collaboration
In addition to the salary range, this role is also eligible for bonus or incentive opportunities.
What’s in it for you
At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you – both today and in the future:
- 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
What you are good at
What you have
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- 15+ years of experience in platform architecture/engineering, software engineering, or AI/ML engineering
- 5+ years operating at a Principal Engineer or equivalent senior technical leadership level
- Strong experience designing and scaling AI/ML platforms and services in cloud environments (GCP preferred)
- Hands-on experience with AI/ML platforms such as Vertex AI, Dataiku, SageMaker, or equivalent
- Deep understanding of the AI/ML lifecycle including model development, training, deployment, and monitoring
- Experience working within large-scale data ecosystems and integrating with data platforms
- Familiarity with distributed systems, platform architecture, and scalable service design
- Proven ability to define and implement engineering standards and platform patterns across teams
- Experience driving cross-functional technical alignment across multiple engineering groups
- Strong understanding of platform scalability, reliability, and operational excellence principles
- Demonstrated ability to reduce vendor dependency and build internal engineering capability
Preferred Qualifications:
- Experience in financial services or regulated environments
- Familiarity working within centralized data organizations (CDO structures)
- Experience supporting Data & AI platforms at scale
- Prior experience driving cloud-based platform expansion (GCP preferred)
- Strong background in cross-domain platform integration and architecture collaboration
In addition to the salary range, this role is also eligible for bonus or incentive opportunities.
Why Schwab?
At Schwab, “Own Your Tomorrow” embodies everything we do! We are committed to helping our employees unleash their potential and achieve their dreams. Our employees get to play a central role in disrupting a multi-trillion-dollar industry, creating a better, more modern way to build and manage wealth. We’re a modern financial services firm that stands apart from the industry, where you can go as far as your ambition takes you.
Hear from employees: What’s it like to work at Schwab!
The benefits of working at Schwab : a package designed to empower your health, wealth, career and life. Schwab is committed to building a diverse and inclusive workplace where everyone feels valued.
As an equal employment opportunity employer, our policy is to provide equal employment opportunities to all employees and applicants without regard to any status that is protected by law. (Please click here to see policy.)
Schwab is also an affirmative action employer, focused on advancing women, minorities, veterans, and individuals with disabilities in the workplace. We believe diversity and inclusion are part of our success as a company and our purpose of serving every client with passion and integrity.