{"id":2418834,"url":"https://alion.io/job/cai-senior-quality-engineering-specialist-ai","title":"Senior Quality Engineering Specialist – AI","company":{"id":1819291,"name":"CAI","domain":"cai.io","url":"https://alion.io/company/cai-io","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":26,"ghost_share":0,"stale_share":0.962,"repost_share":0,"time_to_fill_p50_days":13,"computed_at":"2026-11-02T06:13:15Z"}},"role":"QA","role_family":"QA","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":11000,"max_usd":28000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":35},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"Cypress","optional":false},{"name":"Gatling","optional":false},{"name":"GCP","optional":false},{"name":"JavaScript","optional":false},{"name":"JMeter","optional":false},{"name":"LangChain","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Playwright","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Selenium","optional":false}],"status":"live","first_seen_at":"2026-08-25T00:00:00Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-11-02T04:02:57Z","board_verified":true,"closed_at":null,"days_open":69,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":69},"description":"Senior Quality Engineering Specialist - AIReq number:\nR8812Employment type:\nFull timeWorksite flexibility:\nHybridWho we are\nCAI 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.\nJob Summary\nWe are looking for a motivated Senior Quality 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\nWe are looking for a Senior Quality 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, Hybrid - Bengaluru.\nWhat You'll Do\nIdentify opportunities to leverage AI across engineering workflows and software delivery processes\nDesign, develop, and implement AI-driven solutions to improve engineering productivity and efficiency\nBuild AI agents, copilots, and reusable workflows for software engineering use cases\nApply AI across the software engineering lifecycle, including requirement analysis, scenario generation, code generation, automation development, data generation, impact analysis, and defect analysis\nDevelop and maintain automation frameworks or performance engineering assets based on area of specialization\nCollaborate with Product, Development, Platform, QA, and Engineering teams to drive AI adoption\nEvaluate emerging AI technologies, tools, and frameworks, and recommend practical enterprise solutions\nIntegrate AI capabilities into existing engineering processes, CI/CD pipelines, and DevOps workflows\nAnalyze engineering challenges and recommend automation and AI-based improvements\nSupport implementation, testing, rollout, and continuous improvement of AI solutions\nProvide engineering insights through AI-driven analytics, reporting, and productivity metrics\nWhat You'll Need\nRequired:\nBachelor's degree in Computer Science, Information Technology, Engineering, or a related field\n7-10 years of experience in Software Engineering, Quality Engineering, Automation, or Performance Engineering\nUI Automation: Selenium, Playwright, Cypress, or similar frameworks using Java/JavaScript\nPerformance Engineering: JMeter, LoadRunner, Gatling, or similar tools\nHands-on experience applying AI across the Software Development Lifecycle (SDLC)\nExperience building AI agents, workflows, copilots, or AI-enabled engineering solutions\nKnowledge of requirements analysis, test scenario generation, code generation, defect analysis, and engineering automation using AI\nUnderstanding of Large Language Models (LLMs), Generative AI, Prompt Engineering, and AI-assisted development tools\nPreferred:\nExperience with AI platforms such as Azure OpenAI, OpenAI, GitHub Copilot, Microsoft Copilot, LangChain, or similar technologies\nExperience developing AI-powered engineering productivity solutions\nKnowledge of Agentic AI frameworks and multi-agent workflows\nExperience integrating AI solutions with engineering tools and platforms\nFamiliarity with cloud platforms such as Azure, AWS, or Google Cloud Platform\nPhysical Demands\nAbility to safely and successfully perform the essential job functions\nSedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.\nAbility to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor\nReasonable accommodation statement\nIf 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  (888) 824 - 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