Our Company
At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.
What You’ll Do
As a Senior Staff AI Engineer, you will play a key role in designing and delivering highly scalable, next generation AI products within our Agentic Systems. You will work in a technically rich environment with talented peers, contributing to product strategy, architecture, and execution while influencing the evolution of Teradata’s AI capabilities.
In this role, you will:
- Design, architect, develop, and maintain high quality systems, services, and applications with an emphasis on scalability, reliability, and performance.
- Collaborate with cross-functional engineers and product partners to shape architecture and consistently deliver end to end features.
- Build and integrate robust RESTful APIs, ensuring security, data consistency, and maintainability.
- Work with SQL and NoSQL databases to implement efficient data models and service access patterns.
- Apply and experiment with AI/ML technologies, including agentic AI and large language models (LLMs).
- Use AI powered engineering tools to improve development quality, speed, and productivity.
- Mentor engineers, supporting them in technical planning, implementation, and best practices.
- Identify and resolve system performance bottlenecks, optimizing code, architecture, and infrastructure.
- Write unit and integration tests and participate in code reviews to uphold engineering excellence.
- Investigate production issues, ensuring timely and effective solutions.
- Stay current with emerging trends in engineering, AI/ML, and cloud-native technologies.
Who You’ll Work With
You will be part of a high-performing engineering team building core components of Teradata’s AI platform. You will collaborate closely with other engineers, AI/ML specialists, product managers, cloud architects, and partner teams across the company. The role offers opportunities to contribute directly to Teradata’s AI product roadmap and technological direction.
What Makes You a Qualified Candidate
(Nonnegotiable qualifications)
- Bachelor’s degree in Computer Science or equivalent from a recognized institution.
- 12+ years of experience in backend services, distributed systems, or data platform development.
- Strong proficiency in Java, Go, or Python for service development.
- Deep understanding of design principles, distributed system patterns, and service architecture.
- Hands-on experience designing and developing RESTful APIs.
- Experience with SQL and NoSQL databases and data modelling.
- Strong debugging, problem solving, and troubleshooting skills.
- Experience with modern containerization and orchestration tools such as Kubernetes.
- Knowledge of public cloud platforms.
- Experience with AI productivity tools (e.g., GitHub Copilot).
- Ability to work independently, drive workstreams, and deliver high quality outcomes.
- Strong communication and collaboration skills.
What You’ll Bring
(Preferred qualifications)
- Familiarity with messaging systems such as Kafka.
- Experience experimenting with or implementing AI/ML technologies, Agentic AI, or LLMs.
- A track record of influencing architecture decisions and driving engineering best practices.
- The ability to mentor engineers and guide them through design, planning, and execution.
- A proactive mindset and comfort working in fast paced, dynamic environments.
- Curiosity, adaptability, and a passion for building impactful AI-driven products.
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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 committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
