Job Summary
Adaptive Experience Designer will craft intelligent user journeys that leverage concepts of large language models generative AI platform architecture AI and ML foundations and data science to deliver personalized omnichannel experiences in a hybrid work environment with day shifts and no travel focusing on scalable solutions for global retail vendor management ecosystems and measurable business outcomes.
Responsibilities
- Design adaptive experience strategies that integrate concepts of large language models and generative AI to deliver highly contextual and personalized journeys across digital touchpoints for global retail vendor ecosystems.
- Develop detailed interaction flows and service blueprints that translate complex AI and ML capabilities into intuitive experiences that enhance vendor productivity and operational transparency.
- Create prototypes and experience artifacts that demonstrate how generative AI platform architecture can be used by vendor management stakeholders to make faster and more informed decisions.
- Collaborate with data science teams to define user centric data models and experimentation plans that ensure recommendations and insights are explainable and trustworthy for business and vendor partners.
- Align adaptive experiences with enterprise AI platform architecture by specifying experience layer requirements that support scalability reuse observability and responsible AI practices.
- Analyze qualitative and quantitative user data to refine experience concepts and measure the impact of AI powered features on vendor satisfaction process efficiency and retail supply chain performance.
- Define clear problem statements and success metrics for each AI driven experience initiative and maintain traceability between business outcomes user needs and technical implementation choices.
- Facilitate discovery sessions and design workshops with product engineering and operations stakeholders to uncover use cases where generative AI and data science can meaningfully improve vendor management processes.
- Document experience patterns content guidelines and conversational flows that guide how adaptive interfaces should respond across different scenarios while maintaining compliance and ethical standards.
- Partner with product managers to build roadmaps where experiential milestones are explicitly linked to data readiness AI model maturity and platform architecture evolution.
- Review and refine ML powered features before release by validating that stimuli responses and feedback loops align with defined experience principles and reduce friction for users.
- Coordinate with retail vendor management specialists to ensure that adaptive experiences respect industry practices contractual constraints and operational realities in a hybrid work setting.
- Champion inclusive and accessible design by ensuring that AI driven interactions accommodate diverse user preferences and reduce cognitive load for vendor and internal stakeholders.
Qualifications
- Apply deep knowledge of concepts of large language models to design experiences that harness generative capabilities in controlled and purposeful ways aligned to enterprise objectives.
- Use understanding of generative AI platform architecture to collaborate effectively with engineers on topics such as orchestration observability safety controls and integration with retail systems.
- Demonstrate strong grounding in AI and ML concepts including supervised and unsupervised learning model evaluation and feedback loops to inform experience design decisions.
- Leverage data science expertise to interpret analytical outputs define relevant metrics and design user journeys that promote continuous learning and model improvement.
- Draw on vendor management retail exposure to craft workflows and information architectures that reflect typical vendor lifecycles performance evaluations and dispute resolution processes.
- Communicate complex technical ideas in simple and actionable terms to multidisciplinary teams enabling shared understanding of how adaptive experiences will be implemented and measured.
- Operate effectively in a hybrid work model using digital collaboration tools to co create artifacts document decisions and maintain alignment across geographically distributed stakeholders.
- Maintain strong attention to detail and structured thinking developed over ten to fourteen years of professional experience in experience design AI enabled solutions or related fields.
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。
