AI Engineer

Position Overview

At Teradata, we empower people with better information by building the most complete cloud analytics and data platform for AI. In this role, you will design and build intelligent, autonomous AI systems that push the boundaries of enterprise-scale agentic technology for one of the world’s top companies. You will join a global engineering organization dedicated to solving complex challenges in cloud, analytics, and intelligent automation.

Key Responsibilities

• Design and build intelligent, autonomous AI systems that enable Teradata to lead in agentic technology.
• Lead the development of scalable, secure, cloud-native frameworks for AI agents to reason, plan, act, and collaborate in production environments.
• Create foundational runtime components, automation capabilities, and infrastructure for next-generation GenAI and Agentic AI solutions.
• Collaborate with AI researchers, platform teams, and product leadership to bring advanced agentic capabilities from concept to production.
• Enable enterprise customers to leverage powerful, resilient, and safely governed AI agents to drive measurable business value.

Required Qualifications

• Proven experience designing, developing, and deploying autonomous AI agents at scale.
• Expertise in building agent-based architectures and runtime components for next-generation AI/LLM systems.
• Hands-on experience implementing governance, safety, and compliance in agentic AI environments.
• Ability to partner effectively with product leaders, architects, and platform teams to define enterprise-grade AI capabilities.
• Strong technical abilities with intelligent automation, generative AI, and agentic system design.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• 3–5+ years of experience in software architecture, backend development, or AI infrastructure, with strong Python skills and familiarity with Java, Go, and C++.
• Deep expertise in agent development, LLM integration, prompt engineering, runtime systems, and AI tooling.
• Experience with MCP servers, vector databases, RAG systems, graph-based memory, and NLP frameworks.
• Ability to design core agentic capabilities such as memory management, context handling, observability, and identity.
• Strong background in distributed systems, backend services, API design, and cloud-native deployments (AWS, Azure, GCP).
• Proficiency with containerization, CI/CD pipelines, and scalable production infrastructures.
• Excellent communication skills, documentation habits, and ability to mentor or collaborate across teams.
• Passion for building safe, human-aligned, autonomous systems and extending open-source tools to innovate.

Benefits & Perks

• Compensation: $199,500 – $249,400 – $299,300 Annually. Starting pay depends on geographic location, internal equity, job-related knowledge, skills, and candidate experience. Sales roles may include commission payments tied to quota achievement, while other roles participate in annual incentive plans based on company financial performance and individual contributions.
• Benefits: Participation in the comprehensive benefits programs including healthcare, life and disability insurance plans, a 401(k)-retirement savings plan, and time-off programs. Specific details will be provided during the hiring process.