Job Description

Our Company

Teradata is the AI platform built for the autonomous era. Our AI + Knowledge Platform and multifaceted AI Services help enterprises deploy solutions with deep domain expertise and full enterprise context. Wherever data resides—cloud, on-prem, or hybrid—Teradata connects and scales to deliver the performance AI needs.

What You’ll Do

As an AI Engineer, you will contribute to the design, development, and delivery of AI‑powered services and applications within Teradata’s AI platform ecosystem. You will work closely with senior engineers, AI/ML specialists, and product teams to build scalable, reliable systems leveraging modern AI technologies, including machine learning and large language models (LLMs).

This role is ideal for engineers who are hands‑on, eager to learn, and excited to work on production‑grade AI systems in a cloud‑native environment.

Key Responsibilities:

Apply AI/ML technologies such as machine learning models, LLMs, embeddings, and basic agentic or RAG workflows under guidance from senior engineers.
Design, develop, and maintain high‑quality UI and backend services and applications that support AI‑driven products and platforms.
Implement and integrate RESTful APIs with a focus on security, scalability, and maintainability.
Work with SQL and NoSQL data stores to design efficient data models and service access patterns.
Collaborate with cross‑functional teams (engineering, AI/ML, product, and platform) to deliver end‑to‑end features.
Write clean, testable code and participate in code reviews to maintain high engineering standards.
Assist in troubleshooting, debugging, and resolving production issues.
Learn and follow best practices for cloud‑native development, reliability, and observability.
Stay current with emerging trends in AI, machine learning, and software engineering.

What Makes You a Qualified Candidate

Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
2+ years of experience in software engineering, backend development, or data platform engineering.
Proficiency in Python, Java, or Go.
Basic understanding of distributed systems, APIs, and backend service design.
Experience working with relational (SQL) and/or NoSQL databases.
Familiarity with software development best practices: version control, testing, and code reviews.

What You’ll Bring

Exposure to AI/ML concepts, including machine learning pipelines or LLM‑based systems.
Familiarity with embeddings, vector databases, or retrieval‑augmented generation (RAG).
Experience deploying services in cloud environments (AWS, Azure, or GCP).
Basic experience with containers (Docker) and orchestration platforms (Kubernetes).
Interest in agentic AI, automation, or developer productivity tooling.

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.