Job Description ""We are seeking a GenAI Engineer to design, build, and deploy generative AI solutions that support enterprise applications, automation, knowledge discovery, and intelligent user experiences. The ideal candidate will have hands-on experience working with large language models, prompt engineering, retrieval-augmented generation, model evaluation, and application integration. Experience with Azure DevOps is helpful for supporting deployments, CI/CD workflows, and collaboration with engineering teams, though this role is not primarily DevOps-focused. Key Responsibilities • Design, develop, and integrate GenAI-powered applications using large language models and related AI services • Build solutions involving prompt engineering, retrieval-augmented generation, embeddings, vector search, and AI agents • Develop APIs, services, and application components that connect GenAI capabilities to business workflows • Work with structured and unstructured data to support knowledge retrieval, summarization, classification, and content generation use cases • Evaluate model performance, response quality, hallucination risk, and reliability across different scenarios • Collaborate with product, data, engineering, and architecture teams to deliver scalable AI solutions • Implement responsible AI practices including security, privacy, monitoring, explainability, and governance considerations • Support deployment and release processes using tools such as Azure DevOps, Git, CI/CD pipelines, and cloud environments • Create documentation, reusable patterns, and technical guidance for GenAI solution development • Stay current with emerging GenAI frameworks, model capabilities, and best practices Required Qualifications • 3+ years of software engineering, data engineering, machine learning, or AI application development experience • Hands-on experience building applications with large language models • Experience with prompt engineering, RAG architectures, embeddings, and vector databases • Proficiency in Python and familiarity with APIs, microservices, or backend development • Experience working with cloud-based AI services, preferably on Azure • Understanding of model evaluation, testing, monitoring, and quality improvement techniques • Familiarity with secure development practices and enterprise application integration • Strong problem-solving, communication, and collaboration skills Preferred Qualifications • Experience with Azure OpenAI Service, Azure AI Search, Azure Machine Learning, or related Azure AI services • Working knowledge of Azure DevOps, including repositories, boards, pipelines, and release workflows • Experience with Agentic-LLM solutions using LangChain, LangGraph, or similar tools • Experience with vector databases or search platforms such as Azure AI Search • Familiarity with containerization, CI/CD, and deployment automation • Experience supporting enterprise-scale AI solutions, chatbot platforms, knowledge assistants, or intelligent automation use case""" |
Acerca de Cognizant
Cognizant (Nasdaq: CTSH) es un creador de soluciones de IA y proveedor de servicios tecnológicos que conecta la inversión en IA con el valor empresarial mediante el desarrollo de soluciones de IA full‑stack para sus clientes. Su profundo conocimiento de la industria, junto con su experiencia en procesos e ingeniería, permite incorporar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan resultados tangibles y mantienen a las empresas a la vanguardia en un entorno en constante cambio. Más información en cognizant.ai o @cognizant.
Información adicional de empleo
La información de compensación es precisa a la fecha de esta publicación. Cognizant se reserva el derecho de modificar esta información en cualquier momento, sujeto a la legislación aplicable.
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