Gen AI Assurance Architect
Dinkum Smith
Work from Office
Full Time
Min. 4 yearsJob Description
Gen AI Assurance Architect
| GenAI Assurance ArchitectResponsibilities• Identify the most effective architectures and models to solve complex data problems around Quality Engineering using GenAI• Apply GenAI in automating different aspects of STLC such as Test artefact generation, defect prediction, defect triaging, failure analysis, test optimization and self-healing.• GenAI systems validation including RAG based LLMs for Q&A, generated content and recommendations• Validate performance, security, finetuning and feedback function for LLM based applications• Build solutions to ensure fairness and trustworthiness of GenAI systems by performing automated tests for prompt safety, response accuracy, relevancy, toxicity, biasness and explainability• Lead, mentor, and advise the team members in deploying LLMs and AI models for specified use cases• Document, summarize and present findings and recommendations for Continuous improvement of AI/GenAI implementations across Quality Assurance & Quality EngineeringSkills / Qualification• Bachelor’s degree in Statistics, Computer Science, or Engineering • At least 4 years experience in analytics, data science, ML Engineering in SDLC• Experience with building a range of AI /GenAI based models into production for use cases like Test case generation, Defect classification & prediction, Root cause analysis (RCA), auto script generation, Model Based Testing (MBT), Test case optimization, Self-healing etc• At least 1-2 years of experience in building & deploying LLM based solutions from leading vendors like OpenAI – GPT, Google Gemini Pro or AWS Bedrock• Extensive Python experience required with libraries like LangChain, Ragas, Truelens etc• Able to communicate technical issues in AI/GenAI with technical & non-technical stakeholders• Ability to quickly implement POCs on GenAI assurance use cases based on client data |
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