Rai Engineer

Ecolab Pty Ltd

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Responsible ai implementation and governance
Genai and agentic ai system design
Llm evaluation and testing strategies
** Ecolab Pty Ltd is seeking a Lead Responsible AI Engineer to oversee the implementation of responsible AI practices within their GenAI and agentic AI solutions. The role emphasizes the intersection of AI engineering, quality assurance, and governance, requiring a strong technical background in AI systems and hands-on leadership experience. **

Job Summary

  • This role leads the design and operationalization of responsible AI practices to ensure GenAI and agentic AI solutions are safe, reliable, and auditable in production.
  • The ideal candidate combines technical depth in LLM systems with practical experience in testing frameworks to embed guardrails and safety controls into the full product lifecycle.
  • You will partner with cross-functional teams to define validation strategies covering hallucination risk, retrieval quality, and agent behavior while driving adoption of enterprise governance standards.

Matching Summary

Match Score: 75

** Ecolab Pty Ltd is seeking a Lead Responsible AI Engineer to oversee the implementation of responsible AI practices within their GenAI and agentic AI solutions. The role emphasizes the intersection of AI engineering, quality assurance, and governance, requiring a strong technical background in AI systems and hands-on leadership experience. **

Skills & Requirements

Must-have

  • Responsible AI implementation and governance
  • GenAI and agentic AI system design
  • LLM evaluation and testing strategies
  • RAG pipeline and prompt safety controls
  • AI observability and incident diagnostics
  • NIST AI RMF framework application
  • Python and test automation frameworks

Nice-to-have

  • Multi-agent coordination experience
  • Model Context Protocol (MCP) familiarity
  • Vector search platform knowledge
  • Red-teaming and adversarial testing
  • Token usage analytics and cost control
  • Azure AI Content Safety expertise
  • Mentoring engineering teams

Key Requirements

  • 8+ years of software or AI engineering experience
  • Proven experience with AI governance and risk compliance
  • Hands-on familiarity with NIST AI RMF and Fairlearn
  • Experience with LangSmith, TruLens, or DeepEval tools
  • Knowledge of Azure AI monitoring and OpenTelemetry

Work Rights

Not specified

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