ā¢ Architect GenAI platforms and systems with modular design, scalable pipelines, and secure LLM integrations
ā¢ Define AI security, privacy, and governance standards ā including model context management, output safety, and explainability frameworks
ā¢ Drive the adoption of agent orchestration frameworks and protocols for multi-agent collaboration and automation
ā¢ Evaluate emerging tools and abstract them into capability-driven design patterns ā e.g., orchestration, vectorization, summarization, or autonomous reasoning
ā¢ Partner with platform, security, and product leads to shape long-term AI direction across Ecolab Digital Center
ā¢ Build reusable components (SDKs, prompt libraries, orchestration templates) to accelerate solution delivery
ā¢ Provide technical mentorship to Lead and Senior Engineers; elevate engineering craft through code quality reviews, architecture walkthroughs, and tech talks
ā¢ Champion responsible AI practices and ensure model deployments align with enterprise risk, compliance, and ethical standards
Required Qualifications:
ā¢ 8+ years of experience in AI/ML/GenAI systems, with 3+ years in technical architecture or staff-level engineering roles
ā¢ Demonstrated expertise in building LLM-integrated systems, embedding pipelines, and agentic workflows in production environments
ā¢ Deep understanding of prompt optimization, vector search, context management, and multi-step task orchestration
ā¢ Experience with cloud-native delivery (Azure preferred), containerized workloads, and scalable microservices
ā¢ Strong grasp of model safety, cost optimization, and observability in GenAI applications
ecolab