AI/ML Developer

AI/ML Engineer – Generative AI Platforms (Remote)About CognizantCognizant is one of the world's leading professional services companies, helping clients modernize technology, reimagine processes, and transform experiences. We engineer modern businesses to improve everyday life. Our associates around the globe help clients build stronger, more agile, and innovative organizations. Our AI and Digital Engineering practice helps clients unlock value through Artificial Intelligence, Machine Learning, Intelligent Automation, Cloud Transformation, and Data Modernization. We partner with global enterprises to build scalable AI-powered solutions that accelerate innovation, improve productivity, and drive business outcomes. Role OverviewCognizant is seeking an experienced AI/ML Engineer – Generative AI Platforms to join our growing AI Engineering team. This is a hands-on engineering role focused on designing, developing, deploying, and supporting AI-powered Document Processing and AI Authoring platforms. The ideal candidate will have deep experience building enterprise Generative AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Intelligent Document Processing (IDP), semantic search, and cloud-native AI architectures. You will collaborate with Solution Architects, Product Owners, Data Engineers, and Software Engineering teams to develop innovative AI solutions that deliver scalable, secure, and production-ready business capabilities. Work ModelThis position is fully remote within the United States, providing the flexibility to work from home while collaborating with global teams across multiple locations and time zones. Occasional travel may be required for client meetings, planning sessions, team collaboration events, and strategic initiatives. Key ResponsibilitiesGenerative AI Solution DevelopmentDesign, develop, and deploy enterprise-grade Generative AI solutions using Large Language Models (LLMs).Build intelligent document processing and AI-assisted authoring capabilities supporting complex business workflows.Develop and optimize Retrieval-Augmented Generation (RAG) architectures to enhance response quality and contextual relevance.Implement prompt engineering strategies to improve AI performance, accuracy, and reliability.Collaborate with product and business teams to translate business requirements into scalable AI solutions.Document Intelligence & AI AuthoringDevelop capabilities for:Document ExtractionDocument ClassificationData ValidationKnowledge RetrievalAI-Assisted Content GenerationDesign workflows that automate document understanding and content creation processes.Build validation frameworks that improve accuracy, traceability, and confidence in AI-generated outputs.Support end-to-end lifecycle management of AI-powered document solutions.RAG, Semantic Search & Knowledge RetrievalDesign and optimize embedding strategies for enterprise data and document repositories.Implement vector search and semantic retrieval solutions to improve knowledge discovery.Develop grounding mechanisms that ensure AI responses are accurate, contextual, and explainable.Build and maintain retrieval pipelines that support high-performance search and content generation capabilities.Evaluate and enhance retrieval effectiveness using modern AI evaluation methodologies.API & Microservices DevelopmentDesign and develop APIs and microservices using Python and FastAPI.Build scalable and reusable backend services supporting AI applications and integrations.Develop secure API-based connections between AI platforms, enterprise systems, and third-party applications.Support microservice deployment, monitoring, maintenance, and optimization activities.AWS Cloud & AI Platform EngineeringBuild and support cloud-native AI solutions leveraging AWS services.Develop and maintain solutions utilizing:AWS BedrockAWS LambdaAmazon S3Amazon RDSRelated AWS servicesImplement scalable, secure, and highly available cloud architectures for AI workloads.Collaborate with cloud and platform engineering teams to optimize performance and cost efficiency.Testing, Quality & Operational ExcellenceCreate and execute:Functional TestsIntegration TestsAI Quality Validation TestsPerformance TestsSupport AI model evaluation, monitoring, and continuous improvement initiatives.Troubleshoot production issues and implement long-term solutions.Contribute to quality engineering processes and automated testing frameworks.Security, Governance & Responsible AIEnsure solutions comply with enterprise security standards and governance requirements.Implement Responsible AI practices that support explainability, transparency, and risk management.Adhere to data privacy, compliance, and information security requirements.Support auditability, monitoring, and governance controls within AI platforms.Required QualificationsBachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related fi