Staff AI Engineer
Teradata · Posted Oct 12
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 activate enterprise intelligence, letting businesses connect and scale on premises, in the cloud, or through a hybrid approach. The team works with AI architects, ML engineers, and domain experts to build enterprise AI systems, including agent-driven capabilities. This role provides technical leadership in building scalable, production-grade AI agent systems, driving agent architecture, evaluation and observability frameworks, and mentoring engineers.
What you will do
- Lead the architecture and design of intelligent AI agent systems, from concept through production.
- Define best practices for agent reasoning workflows, tool integration, and system interfaces.
- Drive the design of agent evaluation, benchmarking, and observability frameworks across teams.
- Identify systemic failure modes in agent behavior and guide long-term improvements.
- Collaborate with product, infrastructure, and data platform teams to align agent capabilities with business needs.
- Mentor senior and mid-level engineers on agent design, NLP techniques, and system tradeoffs.
- Influence technical roadmaps and contribute to strategic decisions related to AI agent platforms.
Skills used in this role
What the employer is looking for
- Bachelor’s or Master’s degree in Computer Science, AI/ML, NLP, or a related field.
- 8+ years of software engineering experience, with deep expertise in NLP, ML, or AI systems.
- Proven experience designing and delivering complex LLM-based or agent-driven systems in production.
- Strong proficiency in Python and experience with large-scale or distributed system.
- Deep understanding of structured data systems, including SQL and enterprise data platforms.
- Demonstrated ability to lead technical initiatives across multiple teams.
Preferred qualifications
- Experience defining internal AI platforms or reusable agent frameworks.
- Background in evaluation methodology, benchmarking, or quality metrics for AI systems.
- Familiarity with governance, security, or compliance considerations for enterprise AI.
Benefits and support
- Flexible work model that trusts people to make decisions about how, when, and where they work
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
Recent coverage
Teradata Newsroom
Teradata Transforms Tera into an Agentic Coworker; Introduces Tera Context Engine and Tera HarnessSep 22, 2026
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Teradata Brings Enterprise AI Directly to Microsoft OneLakeSep 2, 2026
PR Newswire
Teradata Reports Second Quarter 2026 Financial ResultsAug 4, 2026
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Teradata Autonomous Knowledge Platform Reaches General Availability Across Cloud and On-PremisesJul 15, 2026