AI Technologist

At Teradata, we believe that people thrive when empowered with trusted data and AI. By delivering harmonized data, trusted AI, and faster innovation, the Teradata Enterprise Intelligence platform enables organizations to make better decisions and achieve stronger business outcomes. As an AI Technologist (AI Architect), you will lead the design, development, and delivery of rapid-turnaround AI/ML prototypes and demonstrations that showcase the power of Teradata Vantage and ClearScape Analytics. You will engage directly with manufacturing, financial services, telco, retail and government to understand their business goals, shape AI/ML use cases, and build compelling solutions that demonstrate measurable value.

Responsibilities

Lead the design, development, and delivery of rapid-turnaround AI/ML prototypes and demonstrations that showcase the power of Teradata Vantage and ClearScape Analytics; Engage directly with manufacturing, financial services, telco, retail and government to understand their business goals; Shape AI/ML use cases; Build compelling solutions that demonstrate measurable value; Deliver high-quality AI prototypes at speed; Establish trusted advisor relationships with stakeholders; Communicate complex AI concepts clearly to non-technical audiences; Apply hands-on technical depth to solve real-world problems

Requirements

Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field; 5+ years of hands-on experience designing, building, and deploying AI/ML solutions in production; Advanced Python programming skills and strong SQL capability; Proven experience with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, LangChain); Experience selecting, evaluating, and deploying open-source models (e.g., Hugging Face); Strong communication skills and experience facilitating client workshops and discovery sessions; Native or Business level Japanese language skills and English fluency

Nice to have

Experience developing retrieval-augmented generation (RAG), vector databases, and agentic AI workflows; Familiarity with cloud environments such as AWS, Azure, or GCP; Understanding of data governance, privacy, and security considerations in AI systems; Ability to manage multiple engagements and deliver high-quality output under tight timelines; Experience creating reusable AI libraries, templates, and best-practice documentation; Previous experience with one or more of these Industries: manufacturing, financial services, telco, retail and government; Ability to translate business needs into actionable technical solutions

Benefits

People-first culture; Flexible work model; Focus on well-being; Anti-racist company committed to Diversity, Equity, and Inclusion; Inclusive environment