Senior AI/LLM Engineer - Remote

Company Overview: Req ID: 383751 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. NTT DATA's Client is currently seeking a Senior AI/LLM Engineer to join their team in Pittsburgh, Pennsylvania (US-PA), United States (US). REMOTE Job Description - Senior AI/LLM Engineer (Generative AI Solutions) Job Title: Senior AI/LLM Engineer - Generative AI Solutions Experience: 6-10+ Years (Minimum 3+ Years in AI/Generative AI) Location: Remote - Need to support EST timezone. Project Overview We are seeking an experienced Senior AI/LLM Engineer to design, develop, and deploy enterprise-grade Generative AI solutions that leverage Large Language Models (LLMs) to solve complex business challenges. The ideal candidate will have strong expertise in Python development, Retrieval-Augmented Generation (RAG), AI orchestration frameworks, and cloud-native AI architectures. This role will work closely with product owners, solution architects, data engineers, and business stakeholders to build scalable, secure, and production-ready AI applications powered by OpenAI and other leading foundation models. Key Responsibilities AI Solution Design & DevelopmentDesign, develop, and deploy enterprise-scale Generative AI applications using modern LLM technologies.Build production-grade backend services using Python and modern software engineering practices.Develop scalable AI architectures utilizing OpenAI, Anthropic Claude, Gemini, Llama, or similar foundation models.Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic search capabilities.Develop intelligent multi-agent AI systems capable of orchestrating complex business workflows.AI Architecture & IntegrationDesign AI solution architectures that are scalable, secure, maintainable, and aligned with enterprise standards.Integrate AI capabilities into existing enterprise applications, APIs, and business workflows.Develop and consume REST APIs, microservices, and event-driven services for AI applications.Implement AI orchestration frameworks such as LangChain and related agent frameworks.Prompt Engineering & Model OptimizationDevelop and optimize prompts for improved accuracy, reasoning, and business outcomes.Evaluate LLM performance and implement techniques to improve response quality.Establish AI governance, model evaluation, and responsible AI best practices.Monitor AI application performance and continuously optimize latency, cost, and quality.Cloud & Enterprise AIBuild cloud-native AI solutions using Azure or AWS AI services.Implement Azure AI Search and vector search capabilities.Design secure enterprise AI applications following cloud security and governance standards.Collaborate with DevOps teams to deploy AI solutions using CI/CD pipelines.Stakeholder CollaborationPartner with business stakeholders to understand AI use cases and translate them into scalable technical solutions.Present architecture decisions, solution approaches, and AI strategies to both technical and non-technical audiences.Mentor junior engineers and contribute to AI engineering best practices across the organization.Required QualificationsBachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.6+ years of software engineering or machine learning engineering experience.Minimum 3+ years of hands-on experience building Artificial Intelligence and Generative AI solutions.3 to 5 years of strong hands-on experience developing production applications using Python.1 to 3 years of experience building applications using OpenAI (preferred), Anthropic Claude, Gemini, Llama, or similar LLM platforms.3+ years of strong experience implementing Retrieval-Augmented Generation (RAG) architectures.1 to 3 years of experience integrating vector databases and semantic search solutions.1 to 3 years of strong understanding of LangChain and AI orchestration frameworks.Experience designing multi-agent AI architectures.Strong knowledge of prompt engineering, model evaluation, AI governance, and Responsible AI principles.Experience building REST APIs, microservices, and event-driven architectures.Experience with Azure or AWS cloud platforms.Strong understanding of scalable enterprise application architecture.Excellent analytical, problem-solving, and communication skills.Required Technical SkillsPythonJavaScriptGenerative AILarge Language Models (LLMs)OpenAI (Preferred)Retrieval-Augmented Generation (RAG)Multi-Agent AI OrchestrationLangChainLangfuseAI Solution ArchitectureAzure AI SearchVector DatabasesPrompt EngineeringREST APIsMicroservicesEvent-Driven ArchitectureAzure or AWS Cloud ServicesPreferred QualificationsExperience with LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar AI agent frameworks.Experience with vector databases such as Pinecone, Weaviate, ChromaDB, Qdra