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 clients across 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.

Success in this role looks like:

• Delivering high-quality AI prototypes at speed
• Establishing trusted advisor relationships with stakeholders
• Communicating complex AI concepts clearly to non-technical audiences
• Applying hands-on technical depth to solve real-world problems

You will collaborate with a multidisciplinary group of Industry Consultants, Data Scientists, Delivery Engineers, and Cloud Specialists. The role partners closely with customer stakeholders-ranging from engineering teams to executive leaders-to guide solution direction and accelerate value. The position reports into Teradata's AI/ML solutions organization.

• 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

• 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.

We prioritize a people‑first culture because we know our people are at the very heart of our success. We embrace flexibility because we trust our employees to decide how, when, and where they work best. We focus on well-being because we care about our people and their ability to thrive personally and professionally. We are an anti‑racist company committed to Diversity, Equity, and Inclusion-and to fostering an equitable environment where everyone is celebrated for who they are.

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