Forward Deployed Engineer (GenAI / Agentic AI)
About the role
As a Forward Deployed Engineer, you will make an impact by owning end-to-end client engagements and delivering production-grade multi-agent AI solutions that solve complex business problems. You will be a valued member of a high-performing AI delivery pod and work collaboratively with client stakeholders, engineering teams, and Cognizant’s AI Market Unit to drive measurable outcomes.
In this role, you will:
- Lead small engineering pods (2–3 engineers) embedded with clients, owning delivery from discovery through production deployment
- Translate ambiguous business challenges into scalable agentic AI architectures, including agent design, orchestration, and human-in-the-loop workflows
- Design and build multi-agent systems for enterprise use cases such as document intelligence, process automation, and AI-assisted decisioning
- Drive rigorous evaluation by defining test frameworks, conducting red-teaming, and presenting evidence-based quality outcomes to stakeholders
- Engage with client stakeholders to conduct architecture reviews, lead technical workshops, and communicate trade-offs in business-friendly terms
Work model
At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance through our wellbeing programs. Based on this role’s business requirements, this is an onsite position requiring 5 days a week in a Cognizant or client office in Chennai, Bangalore, or Hyderabad.
The working arrangements for this role are accurate as of the date of posting. This may change based on project and client requirements.
What you need to have to be considered
- Hands-on experience delivering GenAI solutions from prototype to production in real-world environments
- Strong programming expertise in Python and working knowledge of TypeScript / JavaScript
- Experience with agentic AI frameworks such as LangGraph, AutoGen, CrewAI, or Semantic Kernel
- Proven experience designing and deploying cloud-native solutions (e.g., Kubernetes, serverless, managed AI services)
- Solid understanding of data engineering concepts including ETL, streaming systems, and working with vector/relational databases
- Experience working in enterprise environments with security, compliance, and governance constraints
- Ability to present technical solutions and trade-offs to senior technical and business stakeholders
These will help you stand out
- Experience diagnosing and recovering stalled AI initiatives and bringing them into production successfully
- Strong problem-solving mindset with the ability to challenge and refine client use cases to maximize ROI
- Familiarity with AI evaluation frameworks, observability, and safety/guardrail tooling
- Experience working in regulated industries such as BFSI, healthcare, retail, manufacturing, or supply chain
- Proven ability to mentor engineers and elevate overall delivery quality within a team
Additional information
We’re excited to meet people who can make an impact in a variety of ways. Don’t hesitate to apply, even if you meet most (but not all) of the requirements. Your transferable skills and unique experiences matter.
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。
