Staff Engineer - AI Systems

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 will do :

In this role you will lead a critical and highly visible function within Teradata Vantage platform. You will be given the opportunity to autonomously deliver the technical direction of the service, and the feature roadmap. You will work with extraordinary talent and have the opportunity to shape the team to best execute on the product.

Job Responsibilities

• Lead the design and development of complex, distributed software systems that power Teradata's next-generation data and analytics platforms.
• Architect high-scale, cloud-native backends ensuring reliability, scalability, observability, and performance across global environments.
• Drive end-to-end technical delivery for major product initiatives — from requirements and architecture through implementation, testing, and deployment.
• Mentor and guide engineers, providing technical leadership, code reviews, and architectural direction.
• Partner with product managers, UX designers, and cross-functional engineering teams to translate product vision into robust, performant software solutions.
• Define and enforce engineering best practices for code quality, testing, observability, and operational excellence.
• Develop and optimize APIs, microservices, and distributed systems that handle large-scale workloads efficiently.
• Collaborate with DevOps and ML / AI teams to build reliable infrastructure for data-intensive and AI-enabled applications, including support for model training, inference, and integration.
• Design and implement data pipelines and services that enable downstream AI and analytics workflows.
• Work with emerging technologies and frameworks to enable AI model serving, monitoring, and lifecycle management within production systems.
• Identify performance bottlenecks, propose improvements, and drive systemic enhancements across services and infrastructure.
• Stay ahead of technology trends, particularly in cloud infrastructure, distributed systems, and applied AI engineering.

What Makes You a Qualified Candidate

What You Will Bring

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 because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.

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.

Skills Required

Go, Kafka, Microservices, Docker, Terraform, Python, Aws, Java, Ml, Ai, Gcp, Ansible, Azure, Kubernetes