About the role
As a Master Frontier Engineer, you'll help define what's next in enterprise AI. Acting as the lead architect within a Frontier pod, you'll combine deep technical expertise, business acumen and strategic thinking to design AI-native systems that create measurable outcomes for some of the world's leading organizations.
As a trusted technical advisor, you'll guide the architecture, governance and evolution of complex agentic systems, translate complex challenges into scalable AI solutions, establish engineering standards and mentor the next generation of Frontier talent, turning bold ideas into production-ready capabilities that create lasting value.
In this role, you will
- Design and deploy advanced agentic systems and workflows, establishing governance models for permissions, context-sharing and data access.
- Architect enterprise-scale agent deployments on leading AI platforms, creating trust layers and cross-agent governance frameworks that enable responsible AI adoption.
- Define orchestration patterns, state management strategies, tool-calling frameworks and resilience models for complex AI ecosystems.
- Establish AI quality engineering practices, including agent evaluation frameworks, synthetic data strategies and agentic testing methodologies.
- Design and scale enterprise knowledge architectures, ontologies and retrieval systems that enable trustworthy, context-aware AI experiences.
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 London, United Kingdom . 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
- 7-15 years of delivery experience with deep AI-systems design expertise.
- Strong agentic system architecture skills, including AI orchestration and state-management patterns.
- Hands-on experience with enterprise agent platforms such as Copilot Studio or Agentforce, and MCP/A2A agent protocols.
- Expertise in RAG-at-scale and grounding strategy, plus knowledge graph and ontology engineering.
- Agentic test-framework design experience together with AI security and access controls.
These will help you succeed
- AI-native solution architecture expertise paired with strong agentic engineering and orchestration.
- Context and retrieval engineering depth for grounding agents at enterprise scale.
- AI quality and evaluation design experience across agentic systems.
- Technical leadership and advisory skills, with strong client engagement and the ability to mentor engineers.
- Domain fluency, contextual judgment and a strong business-outcome orientation.
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。
