Job Summary
We are looking for strong AI Technical Architect to drive our innovation strategy using Amazon Web Services. This role focuses on building sophisticated, autonomous AI agents using AWS Bedrock. You will be the primary technical authority on Agentic AI, responsible for designing systems where Foundation Models (FMs) interact intelligently with enterprise data and APIs to perform complex tasks. You will lead high-stakes conversations with senior leadership to define the "Art of the Possible" regarding GenAI.
Architecture & Platform Leadership
- Define target architecture, security boundaries, integration patterns, and deployment standards for enterprise Agentic AI and Generative AI solutions.
- Lead architecture reviews covering security, scalability, resiliency, observability, performance, and cost optimization.
- Establish reusable platform patterns, golden-path templates, reference architectures, and production-readiness standards.
- Collaborate with AI engineering, security, cloud, networking, data, and application teams to drive secure and governed adoption of AI capabilities.
- Provide architecture governance, production-readiness oversight, and leadership for security and resiliency reviews.
Agentic AI & AWS AI/ML
- Strong experience architecting and implementing Agentic AI and Generative AI solutions on AWS.
- Hands-on experience with AWS AgentCore, Amazon Bedrock, Amazon SageMaker, and related AWS AI/ML services.
- Experience designing AI agents, multi-agent workflows, LLM-based applications, RAG solutions, tool integration, and model/agent orchestration.
- Design secure integration patterns between AI agents, enterprise applications, APIs, data platforms, knowledge sources, and external tools.
- Experience implementing AI guardrails, security controls, model governance, observability, monitoring, and responsible AI practices.
- Experience taking AI/ML and Generative AI solutions from prototype/PoC through production deployment.
- Design Agentic AI solutions for enterprise-grade scalability, resiliency, security, performance, and operational supportability.
Cloud Engineering & DevSecOps
- Design and manage secure multi-account AWS environments using AWS Organizations, Control Tower, SCPs, IAM Identity Center, and shared services.
- Develop and manage CI/CD pipelines using GitLab, GitHub, or Bitbucket CI/CD and AWS-native deployment services.
- Build, package, and deploy AgentCore and AI workloads as containerized applications using Docker and Amazon ECR.
- Implement Infrastructure as Code (IaC) using AWS CDK and/or Terraform, including automated deployment pipelines.
- Configure and manage AWS Systems Manager (SSM) for operational automation.
- Design and optimize data persistence using Amazon DynamoDB.
- Implement secure authentication and authorization using OAuth/OBO patterns.
- Apply security and governance policies using the AWS Cedar authorization framework.
- Support threat modeling, security reviews, compliance requirements, and production-readiness assessments.
- Ensure model, agent, and tool interactions follow approved governance and security controls, including deny-by-default Cedar policies, guardrails, private connectivity, identity controls, and secure access patterns.
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。
