Teradata · 1 week ago
Principal Engineer, AI Agents
Teradata is a leading company in cloud analytics and data platforms for AI, empowering customers with better information. The Principal Engineer, AI Agents will architect and lead the development of agentic AI capabilities within Teradata's data and analytics platform, ensuring it supports advanced AI-driven use cases for enterprises.
Responsibilities
Architect Teradata’s foundational AI strategy – driving capabilities that enable agentic AI, GenAI, and advanced analytics on the Teradata VantageCloud platform
Design scalable, performant AI-driven architectures using open table formats (Iceberg, Delta), query engines (Trino, Presto, Spark), and event streaming (Kafka, Pulsar)
Integrate AI into Teradata’s products, including orchestration, context management, and long-running workflows with frameworks like LangChain, Semantic Kernel, and connectors to Amazon Bedrock, Azure OpenAI, and other ecosystem partners
Define reusable patterns for embedding AI/ML inference into customer-facing workloads, with strong emphasis on reliability, explainability, and governance
Modernize the platform through microservices, Kubernetes-native deployment, observability, and API-first integration, ensuring AI services are secure, compliant, and enterprise-ready
Champion responsible AI at Teradata by building governance frameworks that ensure fairness, transparency, and trust in AI-driven analytics
Lead architectural reviews and strategy alignment across engineering teams to drive consistency, scalability, and innovation
Influence and guide engineering, design, and data science teams on AI architecture and delivery strategy
Collaborate with the Office of the CTO on innovation, research, and future-state technology roadmaps
Partner with Infrastructure and Security Engineering to ensure Teradata’s AI services meet enterprise-scale performance and security requirements
Engage with customers, partners, and GTM teams to deeply understand enterprise AI use cases and help shape Teradata’s AI product roadmap
Work with R&D and innovation teams to evaluate emerging AI technologies, run proof-of-concepts, and validate enterprise applicability
Qualification
Required
15+ years of experience in enterprise architecture, distributed systems, or large-scale analytics platforms
Demonstrated experience integrating AI and ML into enterprise-grade products at scale
Expertise in hybrid and multi-cloud architectures, including secure integration with hyperscalers (AWS, Azure, Google Cloud)
Strong understanding of agentic AI architectures, orchestration frameworks, and generative AI integration
Proven track record of building production-grade AI/ML inference pipelines with governance and monitoring
Knowledge of open data formats, modern query engines, real-time streaming, and enterprise APIs
Experience modernizing platforms from monolith to microservices with Kubernetes-based deployment
Master's degree in Computer Science, Engineering, or related technical discipline (PhD preferred)
Company
Teradata
Teradata is the connected multi-cloud data platform company. Our enterprise analytics solve business challenges from start to scale.
H1B Sponsorship
Teradata has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
2024 (31)
2023 (15)
2022 (27)
2021 (34)
2020 (12)
Funding
Current Stage
Public CompanyTotal Funding
unknown2007-09-21IPO
Recent News
2026-01-06
2025-12-04
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