Job Details
Experience Level: 5–9 years
Location: Hyderabad, India
Mode of Work: 5 Days WFO
Job Type: Full-time
Role Overview
Join the AI Transformation team to design and build AI-driven applications, HITL dashboards, and enterprise knowledge platforms leveraging Google Cloud Platform (GCP), Vertex AI, Gemini APIs, and Vertex AI Search capabilities.
Key Responsibilities
· Develop scalable full-stack applications using React, Node.js, and TypeScript
· Build HITL dashboards with approve/reject workflows and feedback loops
· Integrate applications with GCP services and Vertex AI, including Vertex AI Search for enterprise search use cases
· Design ETL pipelines using Cloud Functions, Dataflow, and Pub/Sub
· Manage Enterprise Knowledge Lake and enable AI-ready data processing
· Perform multi-modal data extraction including OCR, document intelligence, and layout parsing for AI-ready formats
· Ensure AI explainability via citation mapping and traceability
· Implement data privacy, consistency, and optimized retrieval mechanisms
· Drive performance, scalability, and reliability across platforms
Required Technical Skills
· Python, JavaScript, TypeScript
· React.js, Node.js, HTML5, CSS3
· GCP: Cloud Run, Firebase, Cloud Functions, Dataflow, Pub/Sub
· Vertex AI, Gemini APIs, and Vertex AI Search
· BigQuery, SQL, ETL design
· Multi-modal data processing including OCR and layout extraction
· Playwright or Selenium for testing
Preferred Qualifications
· Experience in AI-powered platforms and automation solutions
· Exposure to HITL workflows and enterprise knowledge lakes
· Familiarity with CI/CD pipelines in GCP
Education
· Bachelor’s or master’s degree in computer science, IT, or Engineering
Core Competencies
· Full-stack engineering and cloud-native architecture
· AI/ML integration and data engineering expertise
· Strong problem-solving and collaboration skills
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
