Senior Quality Engineering Specialist – AI

Senior Engineering Specialist – AI Req number: R8277 Employment type: Full time Worksite flexibility: Remote Who we are CAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of $1.3 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary We are looking for a motivated Senior Engineering Specialist – AI ready to take us to the next level! If you have strong experience in software engineering, automation, AI enablement, and driving engineering productivity through AI-driven solutions, and are looking for your next career move, apply now. Job Description We are looking for a Senior Engineering Specialist – AI to identify, design, and implement AI-powered solutions across the software engineering lifecycle, enabling automation, accelerating delivery, and improving engineering efficiency. This position will be Full-time, Onsite - Bengaluru. What You'll Do Identify opportunities to leverage AI across engineering workflows and software delivery processes Design, develop, and implement AI-driven solutions to improve engineering productivity and efficiency Build AI agents, copilots, and reusable workflows for software engineering use cases Apply AI across the software engineering lifecycle, including requirement analysis, scenario generation, code generation, automation development, data generation, impact analysis, and defect analysis Develop and maintain automation frameworks or performance engineering assets based on area of specialization Collaborate with Product, Development, Platform, QA, and Engineering teams to drive AI adoption Evaluate emerging AI technologies, tools, and frameworks, and recommend practical enterprise solutions Integrate AI capabilities into existing engineering processes, CI/CD pipelines, and DevOps workflows Analyze engineering challenges and recommend automation and AI-based improvements Support implementation, testing, rollout, and continuous improvement of AI solutions Provide engineering insights through AI-driven analytics, reporting, and productivity metrics What You'll Need Required: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field 7-10 years of experience in Software Engineering, Quality Engineering, Automation, or Performance Engineering UI Automation: Selenium, Playwright, Cypress, or similar frameworks using Java/JavaScript Performance Engineering: JMeter, LoadRunner, Gatling, or similar tools Hands-on experience applying AI across the Software Development Lifecycle (SDLC) Experience building AI agents, workflows, copilots, or AI-enabled engineering solutions Knowledge of requirements analysis, test scenario generation, code generation, defect analysis, and engineering automation using AI Understanding of Large Language Models (LLMs), Generative AI, Prompt Engineering, and AI-assisted development tools Preferred: Experience with AI platforms such as Azure OpenAI, OpenAI, GitHub Copilot, Microsoft Copilot, LangChain, or similar technologies Experience developing AI-powered engineering productivity solutions Knowledge of Agentic AI frameworks and multi-agent workflows Experience integrating AI solutions with engineering tools and platforms Familiarity with cloud platforms such as Azure, AWS, or Google Cloud Platform Physical Demands Ability to safely and successfully perform the essential job functions Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor Reasonable accommodation statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to or (888) 824 – 8111.