Senior Staff AI Engineer

Teradata • San Diego, CA

71d • Remote

About The Position

At Teradata, we're not just managing data; we're unleashing its full potential. Our ClearScape Analytics platform and pioneering Enterprise Vector Store are empowering the world's largest enterprises to derive unprecedented value from their most complex data. We're rapidly pushing the boundaries of what's possible with Artificial Intelligence, especially in the exciting realm of autonomous and agentic systems. We're building intelligent systems that go far beyond automation - they observe, reason, adapt, and drive complex decision-making across large-scale enterprise environments. As a member of our AI engineering team, you'll play a critical role in designing and deploying advanced AI agents that integrate deeply with business operations, turning data into insight, action, and measurable outcomes. In this role, you'll architect foundational components for production-grade AI systems - from agent frameworks and LLM pipelines to observability and evaluation layers that ensure reliability, accountability, and performance. You'll be responsible not just for building models, but for making them measurable, debuggable, and trustworthy in real-world, high-stakes deployments. You'll work alongside a high-caliber team of AI researchers, engineers, and data scientists tackling some of the hardest problems in AI and enterprise software - from scalable multi-agent coordination and fine-tuned LLM applications, to real-time monitoring, drift detection, and closed-loop retraining systems. If you're passionate about building intelligent systems that are not only powerful but observable, resilient, and production-ready, this role offers the opportunity to shape the future of enterprise AI from the ground up.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
• 12+ years of experience in software architecture, backend systems, or AI infrastructure.
• Deep knowledge of autonomous agent frameworks and AI orchestration models.
• Experience with agent memory, planning loops, self-reflection, and execution chains.
• Proficiency with cloud-native platforms and distributed systems.
• Experience building SDKs or APIs that expose agentic capabilities.
• Excellent collaboration and communication skills.
• Proven ability to lead projects across large, distributed teams.
• Strong knowledge of LLMs, RL, or cognitive architectures.

Nice To Haves

• Experience with vector DBs, graph-based memory systems, or agentic frameworks.
• Familiarity with CI/CD practices, testing, and observability.
• Knowledge of open-source tools and technologies.
• Experience with knowledge graphs or AI-native security analytics.
• Familiarity with zero-trust architectures or AI governance frameworks.

Responsibilities

• Architect foundational components for production-grade AI systems.
• Design and deploy advanced AI agents that integrate with business operations.
• Build models that are measurable, debuggable, and trustworthy.
• Work cross-functionally with product leaders, architects, and platform teams.
• Define and lead the technical roadmap for agent management.
• Ensure AI agents are secure by design with visibility and accountability.
• Collaborate with AI researchers and platform engineers.
• Build foundational infrastructure and tools for multi-agent collaboration.
• Drive adoption of AI agents across the enterprise.

What This Job Offers

• Industry: Publishing Industries
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees