Principal Engineer – GenAI Platform

• Lead the design and implementation of GenAI solutions in enterprise and regulated environments
• Define scalable architectures using LLMs, RAG, AI Agents, guardrails, and model routing strategies
• Establish evaluation, monitoring, and governance standards for Generative AI applications
• Work directly with product and business teams to transform needs into production-ready solutions
• Develop frameworks, reusable components, templates, and best practices for adoption across multiple teams
• Lead technical reviews and support architectural decisions
• Serve as a technical authority for engineers and data scientists
• Ensure alignment with Responsible AI, information security, compliance, and model risk management requirements
• Promote knowledge transfer and enablement for the teams responsible for supporting the solutions

• Advanced/Fluent English for working in a global environment
• Strong experience in Machine Learning Engineering and/or LLM Engineering in production environments
• Hands-on experience with Retrieval-Augmented Generation (RAG)
• Hands-on experience with AI Agents
• Hands-on experience with GenAI guardrails
• Hands-on experience with Model Selection & Routing
• Hands-on experience with offline and online model evaluation
• Hands-on experience with regression testing for AI applications
• Hands-on experience with human-in-the-loop validation
• Hands-on experience with model monitoring and observability
• Experience with cloud environments, especially AWS and/or Databricks
• Knowledge of model and dataset versioning, experiment tracking, and MLOps
• Ability to influence multidisciplinary teams and stakeholders without formal authority
• Preferred: experience with MLflow and Unity Catalog
• Preferred: knowledge of Databricks Model Serving
• Preferred: experience with Kubernetes, EKS, or distributed environments
• Preferred: experience in highly regulated industries
• Preferred: knowledge of Responsible AI governance and frameworks

• Work from home / remote work
• Inclusive, purpose-driven work environment
• Career and professional development opportunities
• Support for well-being and balance between career and personal commitments
• People-first culture
• Opportunity to work with advanced technologies and high-impact projects