Job Summary
Serve as a Senior Business Process Consultant driving design and implementation of scalable enterprise platforms that seamlessly integrate agentic artificial intelligence and Service Now based workflows in a hybrid day shift environment. Apply deep experience in infrastructure strategy to modernize services strengthen reliability and enable secure automation that improves organizational productivity and creates sustainable value for customers and society.
Responsibilities
- Architect comprehensive infrastructure blueprints that integrate agentic artificial intelligence capabilities with existing enterprise platforms to deliver resilient scalable and secure solutions that improve business service reliability and user experience.
- Design end to end infrastructure patterns for hybrid work models aligning data centers cloud environments and edge components so that agentic artificial intelligence services and Service Now workflows operate consistently and efficiently.
- Oversee the translation of complex business service requirements into infrastructure architectures that support intelligent automation self service experiences and continuous improvement of operational processes.
- Lead capacity planning performance modeling and resilience strategies for platforms hosting agentic artificial intelligence components and Service Now applications ensuring predictable response times and optimized resource utilization.
- Collaborate with Service Now teams to define infrastructure standards for workflow orchestration configuration management and integration ensuring that platform foundations support robust catalog services and automated remediation.
- Provide expert guidance on security compliance and data protection controls within infrastructure designs so that agentic artificial intelligence solutions and service management processes remain trustworthy auditable and aligned to enterprise policies.
- Drive adoption of infrastructure as code automation and standardized patterns to streamline deployment of environments for development testing and production that host agentic artificial intelligence agents and Service Now modules.
- Coordinate with operations teams to define monitoring observability and incident response strategies that make use of intelligent alerting and automated runbook execution to reduce downtime and improve service quality.
- Evaluate emerging infrastructure technologies and artificial intelligence tooling comparing them against architecture principles and recommending pragmatic adoption paths that enhance efficiency sustainability and long term maintainability.
- Guide documentation standards for infrastructure designs operational procedures and reference architectures so that technical stakeholders and business partners can understand dependencies risks and support models clearly.
- Mentor engineering and operations personnel by sharing architectural practices for designing robust platforms that leverage agentic artificial intelligence and service management principles to deliver measurable value.
- Partner with project managers and product owners to estimate infrastructure effort sequence implementation milestones and manage architectural risks ensuring that delivery timelines and quality targets are reliably met.
- Collaborate with enterprise architects to align infrastructure roadmaps with long term digital transformation goals so that agentic artificial intelligence and Service Now investments contribute meaningfully to societal impact through improved services.
Qualifications
- Bring extensive experience designing large scale infrastructure solutions for complex enterprises with a strong track record of integrating artificial intelligence systems into reliable production platforms.
- Demonstrate deep hands on expertise in architecting and implementing agentic artificial intelligence frameworks including orchestration of autonomous agents secure data pipelines and scalable compute environments.
- Possess strong working knowledge of Service Now architecture including platform configuration workflow design integration methods and performance tuning within enterprise infrastructure contexts.
- Apply advanced skills in cloud infrastructure design virtualization storage networking and container platforms to create flexible foundations for intelligent automation and modern service management.
- Exhibit strong proficiency in observability tools configuration management and infrastructure as code practices enabling repeatable deployments and consistent operations across hybrid environments.
- Show proven ability to collaborate with security and compliance teams to embed controls for identity management data governance and risk mitigation within infrastructure solutions that host artificial intelligence services.
- Offer excellent communication and stakeholder engagement capabilities enabling clear explanation of architectural decisions tradeoffs and benefits to technical and nontechnical audiences.
Certifications Required
Preferred certifications include Service Now Certified System Administrator and a major cloud architect certification such as AWS Certified Solutions Architect or Azure Solutions Architect.
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
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
