AI Architect

NTT DATA • Plano, TX

2h

About The Position

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.

Requirements

• +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, TensorFlow.
• +5 years in Python, SQL.
• +4 years working with REACT, Angular, Streamlit, Chainlit, Flask.
• +2 working with Langchain, LLaMA Index, Vector DBs like PineCone.
• Ability to travel at least 25%.
• Bachelor’s Degree required.

Nice To Haves

• Preferred experience in Cognitive Services, NLP, GenAI, Agentic AI, ML.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees