AI Architect
Listed on 2026-01-02
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
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 Architect to join our team in Plano, Texas (US-TX), United States (US).
As a AI Architect with NTT DATA, you will be at the forefront of innovation, leveraging your skills to design and implement cutting‑edge AI solutions. With a focus on creativity, collaboration, and technical excellence, this role offers a unique opportunity to work on transformative projects that drive business intelligence and decision‑making across diverse industries.
Key Responsibilities:- AI/ML Solution Development:
Ideate, develop, and deploy AI/ML solutions focused on prediction, recommendation, text analytics, computer vision, natural language processing (NLP), and content intelligence. - Prototyping and PoCs:
Rapidly develop prototypes and proof of concepts (PoCs) in areas such as LLMs, NLP, deep learning (DL), machine learning (ML), object detection, classification, and tracking. - Model Fine‑tuning and Customization:
Fine‑tune and deploy distributed OpenAI models (e.g., DaVinci, Curie, Babbage, ADA) and apply prompt‑engineering techniques to optimize model performance for specific use cases. - Agentic Workflows and RAG Applications:
Develop applications using Retrieval‑Augmented Generation (RAG) techniques and agentic workflows, enhancing AI solutions with advanced information retrieval and vector databases. - Cross‑functional
Collaboration:
Work closely with cross‑functional teams to design, build, and deploy AI solutions, ensuring alignment with client needs and project goals. - Continuous Improvement:
Stay informed about the latest advancements in GenAI, machine learning, AI technologies, and cloud services to continuously optimize the technical stack. - Technical Communication:
Clearly communicate complex technical concepts to non‑technical audiences and provide training sessions to enhance data science skills within the organization. - Containerization and Deployment:
Apply knowledge of containerization and deployment processes to ensure scalable and efficient AI solutions - Generative AI Integration:
Utilize Azure OpenAI and other AI services to integrate Large Language Models (LLMs) into enterprise applications. Collaborate closely with business and IT teams to ensure successful implementation.
- +5 year working with within full cycle deployment of AI technologies / legacy solutions.
- +2 years working with OpenAI, LLaMA, Grok, Anthropic, Gemini, Bedrock, Coherent, Mistral;
Hugging Face Transformers, Tensor Flow. - +5 years in Python, SQL.
- +4 years working with REACT, Angular, Streamlit, Chainlit, Flask.
- +2 working with Langchain, LLaMA Index, Vector DBs like Pine Cone.
- Preferred experience in Cognitive Services, NLP, GenAI, Agentic AI, ML.
- Ability to travel at least 25%.
- Bachelor’s Degree required.
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
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…
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