Principal AI Engineer

Architect GenAI platforms and systems with modular design scalable pipelines and secure LLM integrations
Define AI security privacy and governance standards including model context management output safety and explainability frameworks
Drive the adoption of agent orchestration frameworks and protocols for multi-agent collaboration and automation
Evaluate emerging tools and abstract them into capability-driven design patterns e.g. orchestration vectorization summarization or autonomous reasoning
Partner with platform security and product leads to shape long-term AI direction across Ecolab Digital Center
Build reusable components (SDKs prompt libraries orchestration templates) to accelerate solution delivery
Provide technical mentorship to Lead and Senior Engineers; elevate engineering craft through code quality reviews architecture walkthroughs and tech talks
Champion responsible AI practices and ensure model deployments align with enterprise risk compliance and ethical standards

Required Qualifications:

8 years of experience in AI/ML/GenAI systems with 3 years in technical architecture or staff-level engineering roles
Demonstrated expertise in building LLM-integrated systems embedding pipelines and agentic workflows in production environments
Deep understanding of prompt optimization vector search context management and multi-step task orchestration
Experience with cloud-native delivery (Azure preferred) containerized workloads and scalable microservices
Strong grasp of model safety cost optimization and observability in GenAI applications