AI Developer / Generative AI Engineer
CognizantSwitzerland1 day ago
Full-timeEngineering, Information Technology
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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
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.
- 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.
- 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
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