Staff Engineer - AI Platform

At Teradata, our AI Studio platform and Enterprise Vector Store empower large enterprises to derive value from complex data. We are building intelligent systems that observe, reason, adapt, and drive complex decision-making across enterprise environments. As a member of the AI engineering team, you'll design and deploy advanced AI agents that integrate with business operations. You'll architect foundational components for production-grade AI systems—from agent frameworks and LLM pipelines to observability and evaluation layers—and work with AI researchers, engineers, and data scientists on multi-agent coordination, fine-tuned LLM applications, real-time monitoring, drift detection, and closed-loop retraining systems.

Responsibilities

Architect foundational components for production-grade AI systems including agent frameworks, LLM pipelines, observability, and evaluation layers; Design and deploy advanced AI agents that integrate deeply with business operations; Build intelligent systems that observe, reason, adapt, and drive complex decision-making across enterprise environments; Make models measurable, debuggable, and trustworthy in real-world deployments; Architect, design, and implement secure, scalable frameworks for autonomous AI agents; Define and lead the technical roadmap for agent management from discovery and provisioning to task orchestration and retirement; Ensure AI agents are secure by design with visibility, accountability, and guardrails; Build foundational infrastructure and tools for multi-agent collaboration, memory/context management, and extensibility; Drive adoption of AI agents across the enterprise; Collaborate with AI researchers, platform engineers, product managers, architects, and platform teams; Serve as thought leader on best practices for agent safety, observability, performance, and ethical deployment

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field; 8+ years of experience in software architecture, backend systems, or AI infrastructure; Proven experience in design, development, and deployment of intelligent agents that reason, plan, and act autonomously at scale; Deep knowledge of autonomous agent frameworks and AI orchestration models; Experience with Agent Harness, Agent Skills, memory, planning loops, self-reflection, and execution chains; Proven ability to build systems that solve for access control, identity management, and policy enforcement in the context of AI agents; Proficiency with cloud-native platforms, distributed systems, and infrastructure design for scalability and security; Experience building SDKs or APIs that expose agentic capabilities; Excellent collaboration and communication skills; Proven ability to lead projects across large, distributed teams; Experience with vector DBs, graph-based memory systems, or agentic frameworks; Passion for building safe, human-aligned autonomous systems; Experience in software development (Python, Go, or Java preferred); Familiarity with backend service development, APIs, and distributed systems; Interest or experience in LLMs, autonomous agents, or AI tooling; Familiarity with CI/CD practices, testing, and observability; Knowledge of open-source tools and technologies; Passion for AI/ML and building agent-driven interfaces; Ownership mindset

Nice to have

Genuine excitement for AI and large language models; Strong knowledge of LLMs, RL, or cognitive architectures; Experience with knowledge graphs, graph-based identity modeling, or AI-native security analytics; Familiarity with zero-trust architectures, AI governance frameworks, or secure multi-tenancy; Contributions to open-source agent frameworks or LLM orchestration tooling; Background in identity security, compliance-driven environments, or enterprise SaaS platforms

Benefits

People-first culture; Flexible work model; Well-being focus; Inclusive environment; Health care; Life and disability insurance; Retirement savings (401(k)-retirement savings plan); Time-off programs; Annual incentive plans based on company financial attainment and individual performance