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Cognizant

AI Developer / Generative AI Engineer

Cognizant
Switzerland · Full-time · Entry
Job Title: AI Developer / Generative AI Engineer

Location: Zurich, Switzerland

Employment Type: Full time, 12 months contract with extension

Industry: banking

Role Overview

We are seeking experienced AI Developers with strong expertise in Python and hands-on experience building and deploying Generative AI solutions using LLMs, LangGraph, Neo4j, and multi-agent orchestration frameworks (MCP/A2A protocols). The ideal candidate should also have a solid foundation in traditional machine learning, data engineering, and cloud-based AI workflows.

Key Responsibilities

  • Design, develop, and deploy AI solutions leveraging Generative AI, LLMs, and multi-agent architectures.
  • Build data pipelines, perform data preprocessing, and manage data transformations using SQL and other tools.
  • Apply machine learning and deep learning techniques such as classification, clustering, and predictive modeling.
  • Develop and integrate RAG (Retrieval-Augmented Generation) systems, prompt engineering, and vector database implementations.
  • Collaborate with cross-functional teams to design scalable AI workflows and orchestration systems.
  • Implement and maintain CI/CD pipelines, API integrations, and version control systems.
  • Contribute to optimization of data analytics, model performance, and AI infrastructure.

Required Skills And Experience

  • Programming Proficiency:
  • Strong expertise in Python for AI/ML development.
  • Proficiency with SQL, ETL design patterns, and data modeling techniques.
  • Generative AI & LLM Development:
  • Hands-on experience with GPT-based models, LangChain, LangGraph, and vector databases.
  • Experience with RAG architectures and prompt engineering.
  • Knowledge of multi-agent systems, AI orchestration, and MCP/A2A protocols.
  • Machine Learning Expertise:
  • Solid foundation in classification, clustering, regression, decision trees, and neural networks.
  • Experience in predictive modeling and data mining.
  • Data Engineering & Analytics:
  • Experience in data preprocessing, transformation, and pipeline development.
  • Strong analytical skills with ability to work with large datasets.
  • Software Engineering Practices:
  • Familiarity with APIs, RESTful web services, and data connectors.
  • Experience with GitLab (or similar version control systems) and CI/CD pipelines.

Nice to Have

  • Experience with Azure Cloud and related technologies:
  • Azure Data Lake Storage (ADLS), Databricks, Azure Data Factory.
  • Knowledge of Big Data analytics on Azure or on-premises environments.

Key Skills

Ranked by relevance

ai machine learning python cloud cicd sql design patterns deep learning big data storage gitlab neo4j etl
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Country Guide

Switzerland

Very high salaries and premium quality of life

Posted
Nov 07, 2025
Type
Full-time
Level
Entry
Location
Zurich
Company
Cognizant

Industries

IT Services IT Consulting Business Consulting Services

Categories

Engineering Information Technology

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