About the role
As a Solution Architect – Agentic AI, you will make an impact by leading the end-to-end architecture, design, and realization of Agentic and Generative AI solutions for enterprise clients, translating business problems into scalable, secure, and responsible AI-driven architectures. You will be a valued member of the AI solutioning team and work collaboratively with business stakeholders, product owners, data scientists, engineers, and security teams, and clients.
In this role, you will
- Design end-to-end Agentic and Generative AI architectures, including LLM selection, agent orchestration, memory, tools, and human oversight mechanisms, covering data ingestion, vector stores, prompt engineering, retrieval-augmented generation (RAG), agent workflows, APIs, and integration layers.
- Architect multi-agent systems capable of autonomous task planning, execution, reflection, and escalation within defined guardrails.
- Embed Responsible AI principles including fairness, explainability, transparency, human oversight, blast radius, and kill-switch mechanisms, and ensure compliance with AI governance standards, enterprise security policies, and regulatory frameworks.
- Translate business use cases into AI solution blueprints, reference architectures, and implementation roadmaps, and provide technical leadership to delivery teams across PoCs, pilots, and production deployments.
- Support pre-sales, RFPs, solutioning, and deal credentialization, mentor architects and engineering teams, and contribute to internal accelerators, reusable assets, and best practices.
Work model
At Cognizant, we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in PAN India. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you must have to be considered
- 10+ years of experience in solution architecture / enterprise architecture, with a recent focus on Generative AI and Agentic AI.
- Strong experience in solution architecture for AI / ML / GenAI systems on hyperscaler platforms, preferably GCP, Azure, and AWS, with hands-on knowledge of LLMs, prompt engineering, RAG, vector databases, and agent frameworks.
- Experience designing agentic workflows (planning, tool use, memory, reflection, human-in-loop), with proficiency in API-driven architectures, microservices, event-driven systems, containers, orchestration, and MLOps / LLMOps.
- Proven ability to produce solution architecture documents, reference architectures, and design artifacts, with a strong understanding of data pipelines, model lifecycle management, and system observability.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field, with experience working in client-facing, consulting, or large-scale enterprise environments.
These will help you succeed
- Experience with agentic AI governance frameworks and autonomous system controls.
- Exposure to industry-specific Generative AI use cases, especially CMT (Communication, Media, Technology) as well as other domains such as Banking, Financial, Healthcare, Retail, and Manufacturing.
- Contributions to AI platforms, IPs, or internal accelerators.
- Strong stakeholder communication and storytelling skills for technical and non-technical audiences, with the ability to bridge business problems and AI-driven solutions.
- Doctor of Philosophy (PhD) degree in Computer Science, Engineering, or related field.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role..
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。







