Job Summary
Serve as a subject matter expert in customer experience backoffice helpdesk operations for an MNC applying generative AI prompt engineering agentic AI and RAG solutions to optimize support workflows improve query resolution quality and enhance internal customer satisfaction in a hybrid work model while collaborating across tech teams.
Responsibilities
- Apply generative AI techniques to analyze backoffice helpdesk interactions and identify recurring patterns that support continuous improvement in customer experience and operational efficiency
- Design detailed prompt structures and prompt templates that enable consistent and accurate AI generated responses for internal customer support queries within the backoffice helpdesk environment
- Configure and optimize agentic AI workflows that coordinate multiple AI agents to handle complex support scenarios and reduce manual intervention for routine tasks in the helpdesk process
- Implement retrieval augmented generation RAG solutions to connect AI models with enterprise knowledge sources ensuring that responses are grounded in up to date policies procedures and technical information
- Monitor AI system performance across generative AI agentic AI and RAG components and provide data driven insights that help stakeholders refine models rules and workflows for better service outcomes
- Collaborate with tech teams and process owners to translate helpdesk pain points into AI enabled solutions that streamline ticket triage escalation handling and resolution steps
- Create and maintain structured knowledge artifacts that capture how AI solutions should be used by helpdesk analysts including usage guidelines troubleshooting steps and best practices for prompt engineering
- Conduct impact assessments on AI enabled backoffice improvements documenting measurable benefits such as reduction in resolution time higher accuracy of responses and improved satisfaction scores for internal customers
- Support the integration of AI tools into existing helpdesk platforms and backoffice systems by mapping data flows user journeys and process touchpoints in line with organizational standards
- Provide hands on support to helpdesk staff in using AI powered tools explaining how prompts agent workflows and RAG knowledge retrieval can make daily tasks faster more accurate and more consistent
- Analyze operational metrics from helpdesk and backoffice systems including ticket volumes resolution trends and error rates to recommend AI driven enhancements that align with company objectives and social impact goals
- Coordinate with compliance and data protection stakeholders to ensure that generative AI and RAG solutions used in the helpdesk context respect privacy rules data handling practices and ethical guidelines
- Document detailed user stories process maps and configuration notes for AI solutions so that future enhancements and maintenance activities can be managed efficiently by tech and operations teams
- Evaluate emerging generative AI and agentic AI capabilities relevant to backoffice support and prepare concise assessments on how these technologies can help the company deliver better experiences for stakeholders and society
- Assist in defining acceptance criteria for AI related changes in helpdesk workflows ensuring that deployed solutions are stable explainable and aligned with service quality expectations
- Support internal training initiatives by preparing simple use case based examples that demonstrate how generative AI and prompt engineering improve day to day backoffice operations for the helpdesk team
- Identify operational risks associated with AI adoption in the helpdesk context and propose mitigation strategies such as monitoring controls fallback procedures and human review steps
- Partner with reporting teams to build meaningful visualizations and summaries showing how AI solutions impact helpdesk throughput accuracy and experience outcomes across the organization
- Participate in continuous improvement discussions and sprint activities where helpdesk teams and tech stakeholders refine AI capabilities to serve both business needs and wider community impact
- Assist in mapping the end to end lifecycle of helpdesk tickets from intake to closure and propose targeted AI interventions that remove bottlenecks and enhance transparency for internal customers
Qualifications
- Demonstrate between two and four years of professional experience in technology focused roles with direct work on generative AI prompt engineering agentic AI and retrieval augmented generation implementations
- Bring strong proficiency in core technical skills covering generative AI model usage prompt design RAG pipeline configuration and orchestration of agentic AI systems for support and backoffice scenarios
- Show solid exposure to tech domain environments such as enterprise software platforms or technology service organizations where backoffice helpdesk or support operations play a central role
- Possess practical experience in designing AI assisted workflows for backoffice operations including ticket handling knowledge retrieval and automated guidance for support analysts in tech domains
- Exhibit understanding of hybrid work practices by effectively collaborating with onsite and remote stakeholders and using digital tools to coordinate AI solution deli
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。