Lead AI Engineer
Core
Define architectural vision and governance for GenAI solutions at scale, designing intelligent systems leveraging LLMs, agentic workflows, and vector-based retrieval.
Role type
Principal AI Engineer (GenAI Architecture)
Builds
Enterprise-scale GenAI solutions, intelligent systems, and reusable components (SDKs, prompt libraries, orchestration templates)
Domain
Enterprise Technology / Generative AI / Cloud Infrastructure
Deliverable
production ML models (via careerplan.io/jobs/R00295717-lead-ai-engineer-at-ecolab)
Required skills
Azure cloud services, Azure SQL, API design, microservices architecture, LLM integration, agentic workflows, vector search, prompt optimization, context management, task orchestration, model safety, cost optimization, observability, CI/CD, containerized workloads
Preferred skills
UI functionality integration, Visual Studio, modern development environments
Technologies
Azure, Azure SQL, LLMs, Vector Search, SDKs, CI/CD tools
Responsibilities
Design intelligent systems leveraging LLMs and agentic workflows, optimize APIs and database performance, build reusable GenAI components, collaborate with Enterprise Architects, translate business use cases into technical designs, ensure security and cost efficiency in GenAI applications
Seniority
Principal, strategy & mentorship
