Teradata is open for applications to their Senior AI Engineer position in Agentic Systems. This role is focused on building advanced AI systems for enterprise-scale data analytics. It’s a full-time, hands-on position. As for compensation and job conditions, details are not explicitly stated, but the job emphasizes innovation, flexibility and a supportive work environment.

The role requires candidates with three to six years of experience in software engineering, at least two years of which must be in live, agentic AI systems. Proficiency in Python is expected, while Go experience is a plus. You will also benefit from familiarity with advanced agentic platforms and AI plugins, as well as solid benchmarking and evaluation skills.

Responsibilities and Day-to-Day Work

As a Senior AI Engineer, you will develop and enhance intelligent agents that can process enterprise data and perform multi-step analytical operations. Your main tasks include designing, building, and testing new agent skills and plugins, evaluating system performance, and ensuring reliability and quality of AI workflow executions.

Collaboration is crucial in this position. You will work closely with experienced AI engineers, platform teams, and product managers. Expect to contribute directly to Teradata’s product roadmap and operate within a highly innovative engineering organization.

Your contributions will directly influence end users, enabling them to automate data queries and analytical tasks using advanced AI agents. The focus will be on performance benchmarks and delivering tangible value beyond competitors in the market.

Pros of the Job

This job offers an exciting opportunity to work on cutting-edge AI-driven analytics, setting benchmarks for other industry players. The work culture is focused on flexibility and prioritizes empowering every individual in the team.

Another benefit is direct involvement with world-class data infrastructure. You get to learn from senior mentors, make open-source contributions, and enhance your public engineering profile through innovative projects.

Cons to Consider

The bar to entry is high—candidates must demonstrate hands-on experience with real-world agentic AI systems, not just simple chatbot frameworks. There is an expectation of strong technical fluency and readiness to contribute public work or benchmarks.

The responsibilities involve constant evaluation and benchmarking, which may not suit candidates looking for less demanding or strictly maintenance-focused engineering roles.

Verdict

The Senior AI Engineer, Agentic Systems position at Teradata stands out for ambitious professionals seeking hands-on, innovative AI engineering experience. It is most suitable for those eager to leave their mark in enterprise-grade analytics, collaborate closely with top minds, and thrive in a company that values both flexibility and technical excellence.