AI Engineer - NJ/ Dallas/ Atlanta

Cognizant • Middletown, NJ • 3h ago

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"""

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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