> Markdown version of [/jobs/ext/3102580-genai-sr-developer](https://www.wearedevelopers.com/jobs/ext/3102580-genai-sr-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GenAI Sr. Developer - **Company:** NTT DATA, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Cloud Engineering, Python (Programming Language), Machine Learning, Natural Language Processing, Recommender Systems, Tensorflow, AI Infrastructure, Chatbots, Data Ingestion, Pytorch, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Generative AI, Keras, Build Management, AI Platforms, Scikit Learn, Machine Learning Operations, Text Analysis, Spacy - **Published:** September 27, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pmvz4lc0bp ## About the Role * Masters in AI from a reputed College / University * 8+ years demonstrated using Python and relevant packages for ML and data science in multiple real projects that is not limited to their own personal development environment. * 2+ years strong fundamentals in building GenAI solutions, preferably using Agentic frameworks. * 2+ years deep knowledge in all of the following areas: * 2+ years Predictive Analytics * 2+ years Machine Learning and Deep Learning * 2+ years Generative AI * 2+ years Agentic systems * 2+ years ML Ops / AI Infrastructure * 2+ years strong understanding of LLM technologies, embedding models, cloud-based AI services, and AI/ML operations. * 2+ years hands-on experience with cloud-based AI platforms, including Azure OpenAI, Google Vertex Gen AI, and AWS AI services. Soft Skills: * Strong problem-solving skills and critical thinking. * Effective communicator capable of translating complex AI topics to stakeholders. * Self-driven, collaborative, and adaptable to fast-paced environments. ## Description * Develop, and implement AI/ML and Generative AI solutions across various domains, including prediction systems, recommendation engines, text analytics, computer vision, chatbots, and content intelligence platforms. * Build and deploy advanced ML models using frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. * Apply deep knowledge of statistics, machine learning, NLP, and generative models including GANs and transformers. * Work with RAG (Retrieval-Augmented Generation) techniques. * Collaborate with cross-functional teams to design and implement end-to-end AI pipelines, from data ingestion to model deployment and monitoring. * Support the development of GenAI use cases, prototypes, and POCs tailored to specific industry requirements. * Communicate technical concepts clearly and effectively with both technical and non-technical stakeholders. * Engage with clients to understand business needs and deliver customized AI/ML solutions that drive value. * Stay current with trends and advancements in AI, GenAI, LLMs, and related fields. * Contribute to the development of frameworks, capabilities, and features for NTT DATA's global GenAI platform and TechHub. ## Related Videos - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [The State of GenAI & Machine Learning in 2025](https://www.wearedevelopers.com/videos/1383-the-state-of-genai-machine-learning-in-2025) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) - [The Future of Developer Experience with GenAI: Driving Engineering Excellence](https://www.wearedevelopers.com/videos/1107-the-future-of-developer-experience-with-genai-driving-engineering-excellence) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)