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 Sweden. 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
- Opportunity to work with leading Nordic and global clients.
- Challenging and impactful ServiceNow transformation programs.
- Access to continuous learning, certifications, and career development.
- Collaborative and inclusive work environment.
- Competitive compensation and benefits package.
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
