Senior Lead Qa Engineer (agentic Ai & Automation)

S&P Global

Not specified; not specified; competitive pyy, ret...
Hybrid
8+ years quality engineering experience
Expert-level python programming
Testing generative ai and llms
S&P Global is seeking a Senior Lead QA Engineer to oversee the quality of AI-driven autonomous agents, focusing on testing and validating their reasoning and actions. The role demands extensive experience in Quality Engineering, particularly in AI and automation, along with leadership capabilities

Job Summary

  • This role serves as the guardian of AI reliability by designing frameworks to validate the unpredictable nature of Large Language Models within agentic workflows.
  • The team is responsible for the 'Trust Layer' of S&P Global's AI transformation, ensuring autonomous agents act reliably and securely across GCP, AWS, and Azure environments.
  • Candidates will lead red-teaming efforts to prevent hallucinations and data leakage while translating complex technical quality metrics into business confidence for stakeholders.

Matching Summary

Match Score: 85

S&P Global is seeking a Senior Lead QA Engineer to oversee the quality of AI-driven autonomous agents, focusing on testing and validating their reasoning and actions. The role demands extensive experience in Quality Engineering, particularly in AI and automation, along with leadership capabilities.

Salary

Not specified; Not specified; Competitive pay, retirement planning, health care coverage, generous time off, continuing education program

Skills & Requirements

Must-have

  • 8+ years Quality Engineering experience
  • Expert-level Python programming
  • Testing Generative AI and LLMs
  • Automated workflow testing strategies
  • Enterprise API integration testing
  • Multicloud AI platform knowledge
  • Leadership of QA engineering teams

Nice-to-have

  • Experience with LangChain or LangGraph
  • Knowledge of vector databases and RAG
  • ISTQB Advanced Level certification
  • Cloud certifications from Google AWS Azure
  • Performance engineering for LLM latency
  • Background in ServiceNow or Workato

Key Requirements

  • 8+ years in Quality Engineering or SDET
  • 5+ years focused on automated workflow testing
  • Proven track record testing ServiceNow or Salesforce
  • Experience leading high-stakes technical projects
  • Ability to mentor staff on probabilistic testing

Work Rights

US Candidates Only

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