Join to apply for the Research Engineering Automation role at Teradata . Our Company : At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What You’ll Do Transform advanced AI and analytics research prototypes into production‑ready, scalable, and maintainable solutions that can be confidently deployed to customers. Strengthen the connection between research and real‑world delivery by improving code quality, documentation, testability, and operational maturity across research outputs. Build automation frameworks, CI/CD pipelines, and tooling that enable the organization to scale through technology rather than headcount. Establish and uphold engineering quality standards that ensure successful and consistent transitions from prototype to production. Achieve success by enabling Teradata’s research innovations to reliably reach customers in the form of robust, high‑performance systems. Who You’ll Work With Operate within the Office of the Chief Technology Officer (OCTO), focusing on applied AI, advanced analytics, and emerging technology prototypes. Play a critical role in accelerating the translation of research concepts into customer‑ready capabilities for Teradata’s product and service organizations. Collaborate closely with research engineers, product teams, and service delivery teams to align technical direction, architectural decisions, and deployment needs. This position reports directly to the VP of Advanced Research within OCTO. What Makes You a Qualified Candidate Expertise in Python, Go, or C/C++. Strong understanding of CI/CD automation tools, GitHub workflows, and SQL/database design. Demonstrated ability to write clean, testable, well‑documented code. Experience working with AI/ML frameworks such as TensorFlow, PyTorch, or scikit‑learn. Practical experience using AI‑assisted development tools (e.g., GitHub Copilot, Claude). What You’ll Bring Experience transforming research or prototype code into production‑quality software. Familiarity with distributed systems, scalability patterns, and performance optimization. Experience with containerization, cloud deployment, or infrastructure‑as‑code workflows. Background in research, innovation teams, or model‑deployment pipelines. Understanding of AI governance, ML testing frameworks, and responsible‑AI principles. Master’s degree in Computer Science or equivalent experience is a plus. Contributions to open‑source projects or a strong public portfolio. Knowledge of inference optimization or productionizing machine learning systems. Why We Think You’ll Love Teradata We prioritize a people‑first culture because we know our people are at the very heart of our success. We embrace a flexible work model, focus on well‑being, and are an anti‑racist company committed to Diversity, Equity, and Inclusion. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. #J-18808-Ljbffr