About the role
As a Frontier Engineer, you'll help build AI that moves the world forward. Working at the frontier of technology, you'll join a lean, high-impact pod where human ingenuity and AI come together to solve real-world challenges for some of the world's leading organizations. You'll partner directly with clients to design, deploy and continuously improve AI-native systems, with the freedom to experiment with emerging technologies and turn bold ideas into real impact.
In this role, you will
- Build and orchestrate multi-agent AI systems, integrating agent outputs into production environments that solve real business problems.
- Design intent-driven prompts and workflows for AI coding agents, applying human judgment to validate quality, safety and accuracy.
- Create scalable RAG architectures, vector stores and knowledge systems that enable trustworthy and context-aware AI experiences.
- Deploy, monitor and optimize LLMs and AI agents in production, implementing responsible AI guardrails and observability practices.
- Build AI-embedded applications and workflows using enterprise AI platforms, automation tools and modern engineering practices.
Work model
We believe hybrid work is the way forward as 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 the Netherlands. 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
- 3-10 years of technical delivery experience with strong AI-tool fluency across the full stack.
- Hands-on experience with agentic coding and multi-agent orchestration using frameworks such as LangChain, AutoGen or LangGraph.
- Strong prompt and intent engineering skills, with the ability to validate AI-generated code for quality and correctness.
- Experience designing RAG pipelines and managing vector databases to ground and improve agent accuracy.
- LLMOps and model lifecycle management experience, including guardrail implementation, AIOps observability and CI/CD for AI systems.
These will help you succeed
- Demonstrated agentic engineering and orchestration expertise paired with strong context and retrieval engineering.
- Production AI operations (LLMOps) experience running LLMs and agents at scale.
- A track record of full-stack AI delivery, reaching for an AI tool first as a generalist builder.
- Domain fluency and contextual judgment to validate AI outputs against real business context.
- A strong business-outcome orientation, owning what the pod builds permanently in production.
What We Offer
- A competitive salary based on your qualities and experience
- NS business card to cover your commute expenses
- 25 days of paid holiday per year
- A laptop and a smartphone
- A pension scheme
- Health insurance
- Organisation driven by technology – we have a tremendous technology backbone
- Open, 'can do' team spirit and international environment
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。
