Job Summary
Lead the testing and quality assurance workstream for an AIDriven Development Lifecycle DLC Proof of Concept POC ensuring the quality reliability and effectiveness of AI powered capabilities across the software development lifecycle Drive end to end validation of AI assisted requirements analysis test case generation code generation test automation defect prediction and quality engineering processes Collaborate with business stakeholders development teams QA teams architects and
Responsibilities
Primary Skills
Strong experience in Software Testing and Quality Engineering including Functional Testing Automation Testing API Testing Test Strategy Test Management and Quality Governance.
Proven experience leading AI GenAI Testing Initiatives including AI-generated Test Case Validation AI-assisted Code and Requirement Validation Prompt Testing Model Output Verification Test Coverage Assessment and AI Outcome Quality Measurement.
Strong Test Management and Governance skills including test strategy development stakeholder management defect governance risk management readiness reporting KPI tracking and cross-functional coordination with Development QA Product and AI/ML teams.
Secondary Skills
Experience with GenAI-enabled Software Development Lifecycle (SDLC) solutions AI testing frameworks and prompt engineering.
Knowledge of Playwright Selenium API Testing CI/CD DevOps GitHub Copilot Azure OpenAI and AI-assisted development tools.
Experience with Python automation framework design test orchestration and quality engineering practices.
Understanding of LLM validation AI model evaluation AI governance and responsible AI practices.
Healthcare payer/provider domain experience preferred.
Qualifications
- possess a bachelors degree or equivalent practical experience in computer science information technology or a related field with a focus on software quality or test engineering disciplines.
- bring six to ten years of hands on experience in quality engineering with a strong emphasis on designing automation solutions for web and API applications.
- demonstrate strong proficiency in Python for building automation frameworks utilities and test scripts that emphasize readability scalability and reuse.
- show practical experience in using Playwright for browser based automation including handling complex user interactions authentication flows and cross browser validations.
- exhibit solid experience with Azure services such as pipelines app services or related components used for deploying and testing cloud native solutions.
- apply working knowledge of GitHub and GitHub Copilot to manage repositories code reviews and AI assisted coding workflows while adhering to organizational quality standards.
- preferably offer domain exposure to pharmacy claims or broader healthcare systems enabling better understanding of industry regulations data sensitivity and transactional accuracy needs.
- display proven ability to operate effectively in a hybrid work model and day shift environment while collaborating with distributed teams using remote friendly communication practices.
- illustrate strength in defect analysis root cause identification and communication skills that enable constructive collaboration with engineering partners and stakeholders.
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
