Lead Responsible Ai Engineer

Ecolab Pty Ltd

Not specified
8+ years software engineering experience
Genai and agentic ai systems expertise
Responsible ai governance frameworks
Ecolab Pty Ltd is seeking a Lead Responsible AI Engineer who will spearhead the design and implementation of responsible AI practices, ensuring safety, quality, and governance across AI solutions. The role requires a strong technical background in AI systems, particularly with GenAI and agentic AI, alongside experience in quality engineering and governance

Job Summary

  • This role leads the design and operationalization of responsible AI, safety, and quality practices across GenAI and agentic AI solutions.
  • The ideal candidate combines technical depth in AI-enabled systems with practical experience in testing, quality frameworks, and production monitoring.
  • You will work closely with cross-functional teams to embed guardrails, prompt controls, and safety-oriented design patterns into the full product lifecycle.

Matching Summary

Match Score: 85

Ecolab Pty Ltd is seeking a Lead Responsible AI Engineer who will spearhead the design and implementation of responsible AI practices, ensuring safety, quality, and governance across AI solutions. The role requires a strong technical background in AI systems, particularly with GenAI and agentic AI, alongside experience in quality engineering and governance.

Skills & Requirements

Must-have

  • 8+ years software engineering experience
  • GenAI and agentic AI systems expertise
  • Responsible AI governance frameworks
  • LLM evaluation and testing strategies
  • RAG pipeline and prompt safety knowledge
  • AI observability and monitoring tools

Nice-to-have

  • Multi-agent coordination patterns
  • Model Context Protocol (MCP) familiarity
  • Vector search quality assessment
  • Azure AI Content Safety experience
  • Reusable safety control development
  • Token usage analytics and cost controls

Key Requirements

  • 8+ years of experience in software or AI engineering
  • Proven enterprise experience with AI validation and governance
  • Hands-on familiarity with NIST AI RMF frameworks
  • Experience with fairness tooling like Fairlearn or AIF360
  • Proficiency in LLM evaluation tools such as LangSmith or DeepEval

Work Rights

Not specified

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