GenAI Engineer

GenAI Engineer

Company: NTT DATA Location: Remote (LATAM - EST Time Zone) Contract: 1-Year Assignment with possibility of extension Seniority: Mid-level Industry: Technology

NTT DATA is a global leader in technology services, operating in over 50 countries with a diverse team of over 139,000 professionals. We are dedicated to providing innovative technological solutions and consulting services, driving progress across various sectors including telecommunications, finance, industry, utilities, energy, public administration, and health. We believe that great technology requires great people, and we are looking for talented individuals to join our mission.

About the Role

We are seeking a skilled GenAI Engineer to join our global client's team for a fully remote opportunity. This role is crucial for designing, building, deploying, and managing cutting-edge AI and Machine Learning solutions within enterprise environments. You will focus on implementing both classical ML and modern Generative AI workloads, including agent-based systems and Retrieval-Augmented Generation (RAG) pipelines, ensuring all solutions are scalable, secure, and aligned with enterprise architecture.

Key Responsibilities

• Design, build, and deliver end-to-end AI/ML solutions, from prototyping to production deployment.
• Develop AI solutions utilizing Azure AI Foundry, Azure OpenAI, Azure Machine Learning, and related Azure AI services.
• Construct agent-based architectures using frameworks like LangChain, LangGraph, and Semantic Kernel.
• Design and optimize prompt engineering strategies, RAG pipelines, embeddings, and vector search workflows.
• Build, train, evaluate, and deploy classical ML and GenAI models using Azure Machine Learning.
• Implement MLOps and LLMOps practices, including CI/CD, automated testing, responsible deployment, model monitoring, and performance optimization.
• Integrate AI solutions securely with enterprise systems, APIs, and event-driven architectures.
• Embed Responsible AI principles (fairness, explainability, transparency, human-in-the-loop controls) into solution design and development.
• Collaborate with Data Engineers, AI Architects, Security teams, and business stakeholders.
• Provide engineering guidance and contribute to reusable components and best practices.

Requirements

Technical Skills & Platforms

• Hands-on experience building and deploying AI solutions on Azure, including Azure AI Foundry, Azure OpenAI, Azure Machine Learning, and Azure AI Search.
• Strong understanding of machine learning concepts: feature engineering, model training, evaluation, hyperparameter tuning, and operational deployment.
• Experience deploying both predictive ML and GenAI solutions in enterprise settings.

Generative AI & Agent Systems

• Experience with LLM-based system development and agent orchestration using frameworks such as:
  • LangChain
  • LangGraph
  • Semantic Kernel
• Experience implementing RAG pipelines, embeddings, vector databases, and document ingestion architectures.
• Understanding of LLM constraints, prompt optimization, hallucination mitigation, and output validation strategies.

MLOps, LLMOps & DevOps

• Experience implementing CI/CD for ML and LLM workloads, including testing, monitoring, versioning, and automated deployment.
• Familiarity with Azure DevOps pipelines, Git-based workflows, and cloud-native deployment automation.
• Ability to balance rapid prototyping with strong engineering rigor and production-readiness.

Cloud, Security & Governance

• Understanding of cloud-native patterns, containerization, and scalable AI infrastructure.
• Knowledge of identity, access management, secrets management, and secure deployment practices for AI systems.
• Familiarity with Responsible AI frameworks and enterprise governance models.

Collaboration & Delivery

• Ability to translate business problems into practical, scalable AI solutions.
• Strong communication and cross-functional collaboration skills.
• Experience working within Agile environments (Scrum, Kanban).

What We Offer

• Opportunity to work with cutting-edge AI technologies and modern GenAI frameworks.
• Lead hands-on development of AI systems deployed at enterprise scale.
• Collaborate with cross-functional experts across architecture, engineering, and security.
• Professional experience and growth in a fast-growing, innovative company with an entrepreneurial spirit.

NTT DATA is committed to hiring and retaining a diverse workforce and is an Equal Opportunity/Affirmative Action-Employer.