Schwab is looking to develop new and novel generative AI applications to transform client service, enhance experiences, and drive value across the organization, positioning itself as a leader in financial services innovation.
Requirements
- Demonstrable understanding of generative AI technology, architecture, and terminology including LLMs, RAG, system prompts, agentic, etc.
- Demonstrable experience using/building generative AI solutions
- 3+ years of basic statistics, probability distributions, and the fundamentals of measurement
- Strong understanding of software design
- Curiosity to continually learn and keep up to date with the latest GenAI capabilities
Responsibilities
- Collaboratively define the GenAI platform vision and roadmap.
- Partner with R&D to define evaluation strategies for measuring and monitoring the quality of generative AI output.
- Participate in model validation to ensure continued performance and business value of the tool.
- Define metrics to estimate hallucination impact, output acceptance, and safety concerns.
- Communicate key metrics to both technical and non-technical stakeholders in terms of trends over time, variance, and business impact.
- Distill MVPs and iterative deliverables from long-term product visions and goals.
- Define and champion the near-term product vision, ensuring alignment with Schwab’s strategic goals.
Other
- BA/BS degree
- 7-10+ years of professional IT or Product development experience
- 5+ years of direct product experience
- 3+ years of experience working closely with software engineers
- 3+ years of experience with Scaled Agile Framework and delivering in an Agile environment
