Job Description
Candidates ready to join immediately can share their details via email for quick processing.
📌 CCTC | ECTC | Notice Period | Location Preference
nitin.patil@ust.com
Act fast for immediate attention! ⏳📩
Key Responsibilities
• Architect end-to-end GenAI-powered QE frameworks integrating LLMs, autonomous testing agents, and intelligent validation techniques.
• Develop AI-driven test generation, self-healing scripts, and automated defect classification engines.
• Lead QE strategy across large enterprise programs, ensuring scalability, performance, and accuracy of automation systems.
• Partner with product, engineering, and data science teams to embed AI/ML into SDLC and create continuous quality pipelines.
• Evaluate emerging LLMs, vector databases, RAG workflows, and MLOps platforms for QE optimization.
• Build reusable, modular accelerators for AI-Augmented Regression, API validation, UI automation, and data intelligence.
• Mentor QE teams on GenAI adoption, automation best practices, and architectural governance.
• Drive innovation, solutioning, workshops, and customer presentations as a QE thought leader.
Must-Have Skills
• 14+ years of QE experience with at least 3–5 years in GenAI/LLM-based automation.
• Expertise in Python, Java, or JavaScript with hands-on experience building automation frameworks.
• Strong understanding of LLMs (GPT, Claude, Llama, etc.), vector stores (FAISS, Pinecone), RAG pipelines, embeddings, and prompt engineering.
• Proven experience with AI-driven test generation, autonomous test agents, and intelligent defect prediction.
• Hands-on experience with Selenium, Playwright, API automation, and CI/CD test orchestration.
• Deep familiarity with cloud platforms (AWS, Azure, or GCP) and container ecosystems (Docker/Kubernetes).
• Strong architectural mindset with the ability to design scalable automation platforms.
Good-to-Have Skills
• Experience in MLOps, data pipelines, or AI model evaluation frameworks.
• Knowledge of GenAI observability, model drift detection, and guardrails.
• Experience with Performance Engineering, Chaos Testing, or Security Testing automation.
• Prior consulting or customer-facing architecture leadership roles.
• Experience building reusable AI accelerators for enterprise teams.
📌 CCTC | ECTC | Notice Period | Location Preference
nitin.patil@ust.com
Act fast for immediate attention! ⏳📩
Key Responsibilities
• Architect end-to-end GenAI-powered QE frameworks integrating LLMs, autonomous testing agents, and intelligent validation techniques.
• Develop AI-driven test generation, self-healing scripts, and automated defect classification engines.
• Lead QE strategy across large enterprise programs, ensuring scalability, performance, and accuracy of automation systems.
• Partner with product, engineering, and data science teams to embed AI/ML into SDLC and create continuous quality pipelines.
• Evaluate emerging LLMs, vector databases, RAG workflows, and MLOps platforms for QE optimization.
• Build reusable, modular accelerators for AI-Augmented Regression, API validation, UI automation, and data intelligence.
• Mentor QE teams on GenAI adoption, automation best practices, and architectural governance.
• Drive innovation, solutioning, workshops, and customer presentations as a QE thought leader.
Must-Have Skills
• 14+ years of QE experience with at least 3–5 years in GenAI/LLM-based automation.
• Expertise in Python, Java, or JavaScript with hands-on experience building automation frameworks.
• Strong understanding of LLMs (GPT, Claude, Llama, etc.), vector stores (FAISS, Pinecone), RAG pipelines, embeddings, and prompt engineering.
• Proven experience with AI-driven test generation, autonomous test agents, and intelligent defect prediction.
• Hands-on experience with Selenium, Playwright, API automation, and CI/CD test orchestration.
• Deep familiarity with cloud platforms (AWS, Azure, or GCP) and container ecosystems (Docker/Kubernetes).
• Strong architectural mindset with the ability to design scalable automation platforms.
Good-to-Have Skills
• Experience in MLOps, data pipelines, or AI model evaluation frameworks.
• Knowledge of GenAI observability, model drift detection, and guardrails.
• Experience with Performance Engineering, Chaos Testing, or Security Testing automation.
• Prior consulting or customer-facing architecture leadership roles.
• Experience building reusable AI accelerators for enterprise teams.
💡 Quick Summary
Seeking a career-building opportunity? The QE GenAI Architect (14+ Years Experience) – UST | Any Location position is now open for candidates interested in the Architect / Interior Designer Jobs sector. This role in Bangalore offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Architect / Interior Designer Jobs is a plus.
