Job Summary
This hybrid backoffice helpdesk role supports customer experience teams by applying generative AI prompt engineering Claude agentic AI RAG and context engineering to streamline service workflows and knowledge management enabling efficient resolution of complex queries while enhancing operational quality and contributing to more reliable and scalable digital support services across the organization.
Responsibilities
Design efficient prompts for generative AI systems to optimize accuracy relevance and tone in automated customer support responses while continuously refining patterns based on operational feedback and measurable service outcomes.Configure and maintain Claude based solutions for backoffice helpdesk workflows to improve response quality reduce manual effort and support complex query handling through robust conversational and analytical capabilities.Implement agentic AI frameworks to orchestrate multi step support tasks including data retrieval processing and escalation enabling seamless collaboration between human agents and AI driven tools for improved resolution speed.Develop and optimize RAG pipelines that integrate enterprise knowledge sources to deliver context aware responses ensuring that helpdesk outputs remain aligned with current policies procedures and product information.Apply context engineering techniques to structure and tag support content so that AI systems can reliably interpret customer issues enabling more precise troubleshooting recommendations and knowledge retrieval.Monitor performance metrics for generative AI powered workflows in the backoffice environment and adjust configurations models and prompts to improve accuracy response times and operational stability.Collaborate with customer experience stakeholders to translate service requirements into AI solutions that support ticket triage categorization prioritization and routing for improved case management.Document AI workflows prompt templates RAG architectures and agentic task flows in clear operational guides for helpdesk teams to ensure consistent usage onboarding and knowledge transfer.Conduct periodic reviews of AI outputs for quality risk and compliance across helpdesk use cases and propose targeted improvements that strengthen trust and reliability of automated assistance.Coordinate with engineering and platform teams to integrate AI components into existing helpdesk tools and dashboards ensuring secure data handling and smooth adoption by operations staff.Provide technical support for AI related incidents in backoffice environments including error diagnosis configuration correction and coordination of fixes to minimize disruption to customer service.Analyze support interaction data to identify patterns where generative AI and agentic automation can further reduce repetitive manual work and contribute to better experience for internal and external users.Engage in continuous learning and experimentation with emerging generative AI and context engineering techniques to keep the helpdesk ecosystem aligned to industry best practices and evolving organizational needs.
Qualifications
Bring two to four years of experience in backoffice helpdesk or technical support environments with hands on delivery of generative AI powered solutions that directly improve operational efficiency.Demonstrate strong technical proficiency in generative AI prompt engineering Claude agentic AI RAG and context engineering with practical experience deploying and tuning these capabilities in production support workflows.Possess good to have skills in AI model evaluation data preprocessing and support analytics enabling stronger performance monitoring and continuous improvement of AI driven helpdesk services.Offer required domain understanding of customer experience operations and support processes along with good to have familiarity with enterprise service management practices and digital CX platforms.Work in a hybrid model combining on site collaboration with remote execution ensuring effective participation in team ceremonies design discussions and operational reviews.Operate comfortably in day shift schedules aligning with standard business hours to support backoffice helpdesk operations and cross functional coordination activities.Require no regular business travel for this role while remaining open to occasional visits to company locations when needed for collaboration or training.
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。
