**Req ID:** 351255 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. We are currently seeking a AI Engineer / GenAI Developer to join our team in Chennai, Tamil Nādu (IN-TN), India (IN). **Job Title** Intermediate / Senior AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx **Job Summary** We are seeking a highly skilled AI Engineer experience in Software Development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge AI systems leveraging Large Language Models (LLMs), Chatbots, Retrieval-Augmented Generation (RAG), and agentic AI architectures. This role involves hands-on development with LLMs, embeddings, RAG pipelines, and multi-agent systems using modern frameworks like LangChain, LangGraph, and LlamaIndex. The ideal candidate has experience with Vertex AI on GCP and IBM WatsonX, fine-tuning, and Agent Development Kits (ADKs), and is excited about building scalable, production-grade AI platforms. **Responsibilities** + **Agentic AI Development:** Design, build, and deploy **agentic AI systems** using frameworks such as LangChain, LangGraph, and related libraries. Develop and deploy **multi-agent systems** capable of autonomous decision-making, reasoning, planning, and collaboration. + **RAG Pipelines:** Implement and optimize **retrieval-augmented generation (RAG)** systems, ensuring agents can access and incorporate external knowledge sources for **grounded, accurate responses** . + **LLM Engineering:** Fine-tune and prompt-engineer LLMs for **task-specific reasoning, planning, and dynamic adaptation** . Work with **LLM/SLM APIs, embeddings, and advanced generative AI techniques** . + **Enterprise AI Platform:** Lead the development of enterprise-grade AI platforms integrating **LLMs, RAG, embeddings, and agentic AI protocols** . Implement and standardize **Model Context Protocol (MCP)** for consistent context management across models and agents. + **MLOps & Observability:** Establish and enforce best practices for **MLOps, monitoring, and observability** , ensuring scalable and maintainable AI solutions. + **Applied AI Prototyping:** Rapidly **prototype, experiment, and iterate** to improve AI agent capabilities. + **Collaboration & Research:** Participate in the **full research cycle** : literature review, data exploration, experimentation, and presentation of findings. Collaborate effectively with other engineers, researchers, and data scientists. Contribute to the **documentation and standardization** of technical code and practices. **Required Education** **Bachelor’s degree** in Computer Science, Engineering, or a related quantitative field. **Master’s or Ph.D.** is a strong plus. **Required Experience** + **5+ years overall experience** in software development, data science, or machine learning. + **1+ year of hands-on experience** developing AI applications with LLMs and systems such as **retrieval-based methods, fine-tuning, or agent-based architectures** . + **1+ year of experience** with frameworks like **LangChain, LlamaIndex, OpenAI, or similar tools** . **Required Technical Skills** + Strong programming skills in **Python** and basics in **SQL** . + Expertise with **LLM/SLM APIs, embeddings, and RAG systems** . + Experience deploying on **Google Cloud Platform (GCP)** with **Vertex AI,** and **IBM WatsonX** . + Familiarity with **agentic AI protocols** and exposure to **Agent Development Kits (ADKs)** . **Preferred Qualifications** + Experience implementing **Model Context Protocol (MCP)** for agent coordination. + Prior exposure to **LangGraph, AutoGen, or related orchestration frameworks** . + Knowledge of **MLOps best practices** (CI/CD for ML, observability, monitoring, scaling). + Familiarity with **responsible AI** principles (safety, fairness, interpretability). + Experience in **enterprise-scale deployments** of AI-driven platforms. + Contributions to **open-source AI/ML projects** are a plus. **About NTT DATA** NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us . **_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 (http://us.nttdata.com/en/compliance#eeos) . If you'd like more information on your EEO rights under the law, please click here (http://us.nttdata.com/en/compliance#know-your-rights) . For Pay Transparency information, please click here (http://us.nttdata.com/en/compliance#ppnp) ._**