Lead Architect Autonomous and Platforms

At Teradata, we empower organizations to thrive by providing better information. Our comprehensive cloud analytics and data platform for AI enables businesses to harness harmonized data, trusted AI, and rapid innovation. We cater to some of the world's leading companies, helping them enhance performance, customer experiences, and data integration across their enterprises.

As a pivotal member of Teradata's Product Engineering leadership team, you will oversee the architecture for our autonomous and knowledge platform. Your strategic influence will ensure our platform’s reliability, scalability, and performance across hybrid cloud environments, allowing Teradata to deliver trusted, enterprise-grade solutions.

• Drive the launch of production-grade functionalities in the Knowledge and Data Platform, powered by agentic AI.
• Lead hands‑on engineering efforts with core teams to integrate agentic AI into essential systems.
• Collaborate with knowledge and semantic modeling teams to transform POC‑level agentic AI use cases into scalable production code.
• Partner with senior leaders to develop and implement a forward‑looking vision for agentic AI, steering it towards production.
• Collaborate with AI platform engineering teams to establish company‑wide frameworks for launching production‑ready agentic AI applications.

This position reports directly to the VP of Product Engineering for the Autonomous and Knowledge Platform and entails working closely across the Teradata ecosystem. You will:

• Team up with engineering, data science, and AI professionals to ensure infrastructure and automation strategies bolster cutting‑edge analytics and AI capabilities.
• Cooperate with the Office of the CTO to align infrastructure and automation roadmaps with Teradata's innovative tech vision.
• Engage with Security Engineering to assure our infrastructure and release processes adhere to enterprise‑grade security and compliance standards.
• Work with product management and marketing teams to capture customer needs and enhance infrastructure solutions that elevate Teradata's AI and analytics offerings.
• Support R&D teams in exploring new tools, technologies, and automation frameworks to boost efficiency and reliability on Teradata's platform.

• Over 15 years in enterprise architecture, distributed systems, or large‑scale analytics platforms.
• Demonstrated expertise in integrating AI and ML into scalable, enterprise‑grade products.
• Proficiency in hybrid and multi‑cloud architectures, ensuring secure integration with major providers (AWS, Azure, Google Cloud).
• Deep knowledge of agentic AI architectures, orchestration frameworks, and generative AI integration.
• A proven history of constructing production‑grade AI/ML inference pipelines with governance and monitoring.
• Familiarity with open data formats, modern query engines, real‑time streaming, and enterprise APIs.
• Experience transitioning platforms from monolithic to microservices architectures following Kubernetes deployment strategies.
• A Master's degree in computer science, engineering, or a related field is preferred; a PhD is a plus.

• A strategic and hands‑on mindset, with a systems‑thinking approach to architecture.
• Ability to lead by mentoring and influencing senior engineers without direct authority.
• Comprehensive understanding of platform reliability, performance optimization, observability, and secure AI deployment.
• Excellent communication skills to convey technical vision and its business impacts clearly.
• A passion for AI, data, and analytics, with a commitment to driving global enterprise innovation.

We foster a people‑first culture, recognizing our staff as the cornerstone of our success. With a flexible work model, we trust our people to make choices that suit their working styles. We prioritize well‑being, committed to creating an inclusive environment that celebrates diverse experiences and perspectives.

Location for this role:
Specific address provided during the hiring process.

Teradata is proud to be an equal opportunity employer. We do not discriminate based on any legally protected status, and we encourage individuals from all backgrounds to apply and contribute to our innovative and growing team.

The salary range for this position is $239,500 to $359,200 annually, depending on geographic location, internal equity, and individual qualifications. Additional benefits include healthcare, life and disability insurance, a 401(k) retirement plan, and generous time‑off programs.

Lead Architect for Autonomous and Knowledge Platforms
• Madison, WI, United States