Santander is looking to transform how financial services harness the power of Snowflake Cortex and other AI solutions by designing human-centered AI experiences that turn complex data and machine learning outputs into intuitive, trustworthy tools for customers, analysts, and decision-makers.
Requirements
- Advanced working understanding of AI/ML concepts, especially LLMs, NLP, and model explainability.
- Experience designing for complex systems (e.g., banking platforms, enterprise dashboards) weaving data from different sources.
- Hands-on experience designing prompts for GPT-4, Claude, or Gemini and familiarity with Snowflake Cortex.
- Understanding of vector databases.
- Deep understanding of enterprise guardrails for hallucination detection, fallback, and escalation
- Ability to translate complex technical behaviors into clear, helpful user experiences.
- Comfort working in agile teams and participating in sprints or design reviews.
Responsibilities
- Design Intelligent User Experiences by leading the design of interfaces and interaction patterns for AI-powered tools, such as those mentioned above. All the way from prototypes that validate usability in context to monitoringpost-launch.
- Champion consistency across squads, investing time in documenting AI design patterns for use across teams, while balancing with your own innovation.
- Collaborate closely with data scientists, ML engineers, and product managers to shape how models are presented and used by end users.
- Translate model capabilities and limitations into clear, safe, and explainable UI components.
- Advocate for ethical principles in AI feature development—fairness, bias mitigation, consent, and privacy.
- Design fail-safes, fallback UX, and transparency layers as part of your drive to build trust in AI.
- Analyze feedback and behavioral data to iterate on design solutions.
Other
- You are passionate about providing AI as a product. You design with quality, discoverability, and reusability in mind, anticipating evolving needs when architecting pipelines to create versioned, well-documented and accessible tools for a range of consumers.
- You are an AI-enabled collaborator and translator, bridging the gap between data, data science, and AI teams by proactively supporting model readiness, weaving together feature stores, embeddings, and RAG workflows to bridge the gap between raw model capabilities and practical, business-facing applications.
- You love automation, and strive to minimize manual intervention across ingestion, transformation, and deployment whilst being aware of the need to build in testing, alerts, and recovery mechanisms.
- You are able to explain your logical and structured thinking/processes in different ways to different people while maintaining the honesty and integrity of your work.
- You are endlessly curious, and data innovation demands your attention - you closely follow emerging patterns in RAG, data agents, and self-hosted LLM solutions. You love to share these learnings with your wider team.
