Forward Deployed Engineer
About the role
As a Junior Forward Deployed Engineer, you will make an impact by building and deploying real-world Generative AI and agentic solutions directly within client environments. You will be a valued member of the AI engineering team and work collaboratively with client stakeholders, engineers, and architects to turn complex problems into working software—fast.
In this role, you will:
- Embed directly at client sites to prototype and deploy agentic AI workflows using frameworks such as LangGraph, CrewAI, AutoGen, or AWS Bedrock Agents — shipping working code, not slide decks
- Build and deploy agentic AI workflows and applications within client environments using modern AI frameworks
- Develop end-to-end RAG pipelines, including retrieval optimization, vector databases, and response evaluation
- Instrument AI applications with observability and monitoring tools to ensure production readiness
- Collaborate closely with client teams through stand-ups, design reviews, and feedback loops
- Rapidly prototype and iterate solutions, delivering working demos and production-ready code in short cycles
Work model
At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance through our various wellbeing programs. Based on this role’s business requirements, this is a Work from Office (In Office) position requiring presence in a client or Cognizant office.
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 need to have to be considered
- Strong programming skills in Python with working knowledge of JavaScript/TypeScript
- Experience with REST APIs, Git, CI/CD basics, and containerization (Docker)
- Familiarity with SQL and at least one cloud platform (AWS, Azure, or GCP)
- Hands-on experience building Generative AI solutions (RAG or agent-based applications)
- Understanding of prompt engineering, LLM evaluation, and agentic workflows
These will help you stand out
- Experience building and shipping real AI projects (GitHub, hackathons, or production work)
- Familiarity with agent frameworks and orchestration concepts (tools, memory, planning loops)
- Exposure to LLM observability and evaluation tools
- Strong problem-solving mindset with the ability to work in ambiguous, fast-paced environments
- Confidence to collaborate with clients and adapt quickly based on feedback
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 perspectives 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。
