As a Senior Manager, AI Platforms & Execution, you will play a critical leadership role in translating AI strategy into scalable, enterprise-ready solutions that deliver measurable business impact. You will serve as the execution engine for AI initiatives, shaping how use cases evolve from concept into production—ensuring solutions are reliable, reusable, and aligned with enterprise architecture, data governance, and security standards.
In this role, you will lead the design and delivery of AI-powered capabilities, including intelligent agents, workflow automation, and platform-integrated solutions, while establishing consistent engineering patterns that enable speed, quality, and scale. You will define and operationalize a repeatable delivery lifecycle, driving clarity in how teams plan, build, test, and deploy AI solutions across the organization.
Success in this position requires strong problem-solving and decision-making capabilities as you translate complex business needs into executable technical solutions. You will influence platform and tooling strategies by standardizing development environments, defining reusable assets, and ensuring long-term scalability. You will also collaborate closely with cross-functional partners—including AI enablement, adoption, and measurement teams—to ensure alignment on use case prioritization, successful handoffs, and validation of business outcomes.
As a people and capability leader, you will help scale execution capacity by mentoring engineers, establishing quality and engineering standards, and building an environment where teams can operate effectively in ambiguity. Your ability to foster collaboration, drive continuous improvement, and balance speed with governance will be essential in accelerating Schwab’s AI transformation.
What you have
Required Qualifications
- 8+ years of experience in software engineering, solution architecture, or AI development
- Experience delivering enterprise-scale technical solutions from concept through deployment
- Experience working with AI and large language model (LLM)-based solutions
- Strong system design and integration expertise, including API-driven architectures
- Experience with AI platforms, orchestration frameworks, or automation tooling
- Familiarity with prompt engineering and model tuning techniques
- Understanding of enterprise data environments, including governance, risk, and security considerations
- Demonstrated ability to lead end-to-end execution and stand up new technical capabilities
- Strong ownership mindset with the ability to define, implement, and enforce engineering standards
- Experience operating effectively in ambiguous, fast-evolving environments
- Proven ability to translate business needs into scalable technical solutions
- Strong cross-functional collaboration and stakeholder communication skills, including engagement with senior leaders
Preferred Qualifications
- Experience building reusable AI frameworks, accelerators, or shared platform components
- Experience defining or scaling engineering operating models for emerging technologies
- Experience mentoring and developing technical talent within high-growth or transformation environments
- Exposure to measuring and optimizing AI solution outcomes and performance in production environments
