Senior AI/LLM Engineer - Remote

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. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity.

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 & Development

• Design, 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 & Integration

• Design 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 Optimization

• Develop 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 AI

• Build 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 Collaboration
• Partner 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 Qualifications

• Bachelor'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 Skills

• Python
• JavaScript
• Generative AI
• Large Language Models (LLMs)
• OpenAI (Preferred)
• Retrieval-Augmented Generation (RAG)
• Multi-Agent AI Orchestration
• LangChain
• Langfuse
• AI Solution Architecture
• Azure AI Search
• Vector Databases
• Prompt Engineering
• REST APIs
• Microservices
• Event-Driven Architecture
• Azure or AWS Cloud Services

Preferred Qualifications

• Experience with LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar AI agent frameworks.
• Experience with vector databases such as Pinecone, Weaviate, ChromaDB, Qdrant, Milvus, or Azure AI Search.
• Experience with containerization technologies such as Docker and Kubernetes.
• Knowledge of CI/CD pipelines and MLOps practices.
• Experience with AI observability and monitoring platforms.
• Familiarity with enterprise security, compliance, and Responsible AI frameworks.
• Experience working in Agile/Scrum environments.

Nice to Have

• Experience developing enterprise copilots or AI assistants.
• Experience integrating AI into enterprise SaaS platforms.
• Knowledge of AI governance, security, and compliance standards.
• Experience optimizing LLM inference performance and AI operational costs.

About NTT DATA:

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this remote role is $55 to $62/hour. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.
This position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits
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