AI Developer (Agentic AI & Generative AI)

Cognizant

Zürich, CHhybridPosted Jul 17, 2026
Posting intelligenceActively listed

Skills

kuberneteslangchaindockerpythonazureawsllm

About the role

AI Developer (Agentic AI & Generative AI) Location: Zurich, Switzerland About the Role We are seeking an AI Developer to design, build, and deploy next-generation AI solutions that deliver measurable business value. In this role, you will work at the forefront of Generative AI, developing intelligent applications powered by large language models (LLMs), agentic architectures, and enterprise-grade AI platforms. You will collaborate with business stakeholders, architects, engineers, and data professionals to transform complex requirements into scalable AI solutions. This is an opportunity to work on innovative projects spanning AI agents, copilots, Retrieval-Augmented Generation (RAG), and enterprise automation. Key Responsibilities

Design and build agentic AI solutions, AI copilots, and autonomous workflows that drive business value.

Develop LLM-based applications using technologies such as RAG, APIs, embeddings, and vector databases.

Create end-to-end AI pipelines covering data ingestion, orchestration, deployment, monitoring, and optimization.

Implement multi-step reasoning and decision-making systems.

Apply LLMOps and MLOps practices to ensure reliability, scalability, and maintainability of production AI solutions.

Monitor and optimize AI applications for quality, latency, cost efficiency, and safety.

Integrate AI systems with enterprise applications, APIs, and business platforms.

Collaborate with business and technology teams to identify and deliver high-impact AI use cases.

Stay current with advancements in Generative AI, agentic AI, and the broader AI ecosystem. Required Experience

3–5+ years of experience in Artificial Intelligence, Machine Learning, Software Engineering, or a related field.

Hands-on experience building and deploying LLM-based or agentic AI applications.

Experience integrating AI systems with APIs, tools, and enterprise platforms.

Familiarity with orchestration frameworks such as LangChain or similar technologies.

Knowledge of LLMOps and MLOps practices and AI lifecycle management.

Experience working with data platforms and large-scale datasets.

Experience working in Agile and cross-functional environments. Required Skills

Strong Python programming skills.

Experience working with AI frameworks such as Hugging Face, LangChain, or similar technologies.

Experience with Large Language Models, including:

Prompt Engineering

Retrieval-Augmented Generation (RAG)

Embeddings

Vector Databases

Understanding of agentic AI architectures, including tool usage, planning, memory, and orchestration.

Experience building APIs and integrating AI capabilities into applications and workflows.

Familiarity with modern data architectures and SQL.

Understanding of AI evaluation methodologies focused on quality, safety, and performance.

Strong analytical, problem-solving, and communication skills.

Fluent English language skills; German is an advantage. Nice to Have

Experience with cloud AI platforms such as Azure AI, AWS, or Google Cloud.

Knowledge of containerization and deployment technologies, including Docker and Kubernetes.

Experience with enterprise-scale AI deployments.

Understanding of Responsible AI and AI governance practices. What We Offer

25 days paid vacation per year.

Health Insurance Allowance.

German language course reimbursement.

Annual Performance Bonus to reward your impact and contributions.

A collaborative, international work culture with opportunities for continuous learning and growth.

Exposure to innovative AI and Generative AI projects with real-world business impact.

The opportunity to work alongside experienced technology and business professionals in a dynamic environment.

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