Job Description ""We are seeking a GenAI Engineer to design, build, and deploy generative AI solutions that support enterprise applications, automation, knowledge discovery, and intelligent user experiences. The ideal candidate will have hands-on experience working with large language models, prompt engineering, retrieval-augmented generation, model evaluation, and application integration. Experience with Azure DevOps is helpful for supporting deployments, CI/CD workflows, and collaboration with engineering teams, though this role is not primarily DevOps-focused. Key Responsibilities • Design, develop, and integrate GenAI-powered applications using large language models and related AI services • Build solutions involving prompt engineering, retrieval-augmented generation, embeddings, vector search, and AI agents • Develop APIs, services, and application components that connect GenAI capabilities to business workflows • Work with structured and unstructured data to support knowledge retrieval, summarization, classification, and content generation use cases • Evaluate model performance, response quality, hallucination risk, and reliability across different scenarios • Collaborate with product, data, engineering, and architecture teams to deliver scalable AI solutions • Implement responsible AI practices including security, privacy, monitoring, explainability, and governance considerations • Support deployment and release processes using tools such as Azure DevOps, Git, CI/CD pipelines, and cloud environments • Create documentation, reusable patterns, and technical guidance for GenAI solution development • Stay current with emerging GenAI frameworks, model capabilities, and best practices Required Qualifications • 3+ years of software engineering, data engineering, machine learning, or AI application development experience • Hands-on experience building applications with large language models • Experience with prompt engineering, RAG architectures, embeddings, and vector databases • Proficiency in Python and familiarity with APIs, microservices, or backend development • Experience working with cloud-based AI services, preferably on Azure • Understanding of model evaluation, testing, monitoring, and quality improvement techniques • Familiarity with secure development practices and enterprise application integration • Strong problem-solving, communication, and collaboration skills Preferred Qualifications • Experience with Azure OpenAI Service, Azure AI Search, Azure Machine Learning, or related Azure AI services • Working knowledge of Azure DevOps, including repositories, boards, pipelines, and release workflows • Experience with Agentic-LLM solutions using LangChain, LangGraph, or similar tools • Experience with vector databases or search platforms such as Azure AI Search • Familiarity with containerization, CI/CD, and deployment automation • Experience supporting enterprise-scale AI solutions, chatbot platforms, knowledge assistants, or intelligent automation use case""" |
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。
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