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.
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
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