AI TEST ENGINEERING

Senior Lead, AI Test Engineering

Talent500 • Zurich Core Insurance Platforms

10–12 Years Experience • AI Engineering • Python • Generative AI • LLMs

Python LLMs Prompt Engineering RAG

Job Overview

Talent500 is hiring a Senior Lead AI Test Engineering professional to design, build, and deploy enterprise AI testing solutions. This role focuses on Generative AI, Machine Learning, LLMs, Prompt Engineering, RAG architectures, Automation Testing, Performance Testing, and AI Governance while supporting Zurich's global AI transformation initiatives.

🏢 Company
Talent500
💼 Experience
10–12 Years
🌍 Domain
AI Test Engineering
📍 Location
India

Core Skills

Python Machine Learning Deep Learning Generative AI LLMs Prompt Engineering RAG Automation Testing Performance Testing Security Testing PyTorch TensorFlow

Key Responsibilities

  • Design enterprise AI testing strategies.
  • Build and deploy AI & Machine Learning solutions.
  • Develop Generative AI and LLM applications.
  • Implement Prompt Engineering and RAG architectures.
  • Support Automation, Performance and Security Testing.
  • Work with cloud-native AI platforms.
  • Drive AI governance and responsible AI practices.
  • Collaborate with engineering and business stakeholders.

Required Skills

  • 10–12 years of software engineering experience.
  • Strong Python programming.
  • Generative AI & LLM expertise.
  • Prompt Engineering.
  • Machine Learning & Deep Learning.
  • AI Governance.
  • Automation Testing.
  • Performance Testing.
  • Security Testing.

Technology Stack

  • Python
  • PyTorch
  • TensorFlow
  • NumPy
  • Pandas
  • Generative AI
  • LLMs
  • Prompt Engineering
  • RAG
  • Embeddings
  • ETL
  • Cloud Platforms
  • Automation Testing
  • Performance Testing
  • Security Testing

Career Highlights

This leadership role combines enterprise AI engineering, AI solution architecture, automation testing, Generative AI, and cloud technologies to modernize insurance platforms. It offers an opportunity to work on production-grade AI systems while driving AI adoption across global engineering teams.


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