Principal AI Engineer
Teradata · Posted Oct 5
Cloud data warehousing, analytics, and enterprise artificial intelligence services
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About the role
Teradata's Autonomous Knowledge Platform unifies data, knowledge and business context to deliver enterprise intelligence, and this role sits within the high-performing engineering team building core components of Teradata's AI platform alongside other engineers, AI/ML specialists, product managers and cloud architects. The position focuses on designing and delivering highly scalable, next-generation AI products across on-premises, cloud and hybrid deployments. The Principal AI Engineer will design and architect backend services and distributed systems, build RESTful APIs and data models, and apply AI/ML, agentic AI and large language model technologies while mentoring engineers and contributing to product strategy and architecture.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- Bachelor’s degree in Computer Science or equivalent from a recognized institution.
- 15+ 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.
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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Teradata
Teradata is a global enterprise software company specializing in multi-cloud data warehousing, analytics, and artificial intelligence solutions. Its flagship offerings, including Teradata VantageCloud and ClearScape Analytics, help organizations turn enterprise data into trusted, autonomous actions. The company serves leading global enterprises across industries such as financial services, retail, healthcare, and telecommunications.
- Industry
- Software
- Company size
- 5000-10000 employees
- Founded
- 1979
- Location
- San Diego, California, USA
- Funding stage
- Public Company
Leadership
President and Chief Executive Officer
John Ederer
Chief Financial Officer
Louis Landry
Chief Technology Officer
Sumeet Arora
Chief Product Officer
Michael Hutchinson
Chief Operating Officer
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