Senior Quality Engineer Specialist - AI

Job Title
Senior Engineering Specialist AI
Experience
7-10 Years
Job Summary
We are seeking a highly movated Senior Engineering Specialist AI to drive AI-led
engineering transformaon across the so¢ware development lifecycle. The ideal candidate
will have a strong so¢ware engineering background with exper¢se in either UI Automa¢on or
Performance Engineering, combined with hands-on experience in applying Genera¢ve AI, AI
Agents, and AI-powered engineering solu¢ons to improve produc¢vity, quality, and delivery
outcomes.
The role involves iden¢fying engineering use cases for AI, designing and implemen¢ng AI-
powered workows, developing reusable AI agents, and collabora¢ng with cross-func¢onal
teams to accelerate so¢ware delivery and engineering excellence.
Key Responsibili¢es
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Iden¢fy and evaluate opportuni¢es to leverage AI across so¢ware engineering and
quality engineering processes.
Design, develop, and implement AI-driven solu¢ons to improve engineering
produc¢vity, quality, and eciency.
Build and maintain AI agents, copilots, and reusable workows for engineering use
cases.
Apply AI across the SDLC, including:
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Requirements analysis
Test scenario genera¢on
Automa¢on development
Code genera¢on
Test data genera¢on
Impact analysis
Defect triaging and root cause analysis
Engineering insights and repor¢ng

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Develop and maintain automa¢on frameworks or performance engineering assets
based on area of specializa¢on.
Integrate AI solu¢ons with modern engineering pla¢orms, CI/CD pipelines, and
DevOps prac¢ces.
Collaborate with Product, Development, Pla¢orm, and Engineering teams to drive AI
adop¢on and innova¢on.
Evaluate emerging AI technologies and recommend prac¢cal implementa¢on
strategies.
Mentor engineering teams and champion AI-rst engineering prac¢ces.
Required Skills & Qualica¢ons
So¢ware Engineering
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7-10 years of experience in So¢ware Engineering, Quality Engineering, or a related
domain.
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Strong understanding of So¢ware Development Lifecycle (SDLC).
Experience working in Agile delivery environments.
Good understanding of CI/CD pipelines and DevOps prac¢ces.
Automa¢on / Performance Engineering (Mandatory)
Candidates should possess hands-on exper¢se in one of the following areas:
UI Automa¢on
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Selenium
Playwright
Java or JavaScript/TypeScript
Automa¢on framework design and development
OR
Performance Engineering
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JMeter
LoadRunner
Performance Tes¢ng and Analysis
Performance Engineering best prac¢ces

AI & GenAI
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Hands-on experience applying AI and Genera¢ve AI in so¢ware engineering
workows.
Experience iden¢fying engineering use cases and implemen¢ng AI-powered
solu¢ons.
Knowledge of AI Agents, Agen¢c Workows, LLMs, and AI-assisted development
tools.
Experience with code genera¢on, test genera¢on, defect analysis, and engineering
produc¢vity use cases.
Understanding of prompt engineering and modern AI pla¢orms.
Preferred Qualica¢ons
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Experience building AI-enabled engineering accelerators and produc¢vity tools.
Exposure to Azure OpenAI, GitHub Copilot, Microso¢ Copilot, OpenAI, LangChain,
Seman¢c Kernel, or similar technologies.
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Strong analy¢cal, debugging, and problem-solving skills.
Excellent communica¢on and stakeholder management skills.
Passion for innova¢on and con¢nuous learning in AI and emerging technologies.
Why Join Us?
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Work on cu¢ng-edge AI-driven engineering ini¢a¢ves.
Inuence large-scale engineering transforma¢on programs.
Build next-genera¢on AI solu¢ons that redene so¢ware delivery.
Collaborate with talented engineering, product, and pla¢orm teams.
Drive innova¢on and shape AI-rst engineering prac¢ces across the organiza¢on.