Staff AI Engineer
Indexed description
What You’ll Do
As a Staff AI Engineer, you will play a key role in designing and delivering highly scalable, next generation AI products within our AI Marketplace. 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.
(Nonnegotiable Qualifications)
What Makes You a Qualified Candidate
- Bachelor’s degree in Computer Science or equivalent from a recognized institution.
- 8+ 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.
- 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.
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.
Create a free Caio profile to unlock the full index and keep your job-search signal for future recommendations.
Unlock free search