Teradata is looking to solve complex problems in AI and enterprise software by designing and deploying advanced AI agents that integrate deeply with business operations, turning data into insight, action, and measurable outcomes. They aim to push the boundaries of AI, especially in autonomous and agentic systems, and build intelligent systems that observe, reason, adapt, and drive complex decision-making.
Requirements
- Experience working with modern data platforms like Teradata, Snowflake, and Databricks
- Strong engineering background (Python/Java/Golang, API integration, backend frameworks)
- Strong system design skills and understanding of distributed systems.
- Hands-on experience with Machine learning & deep learning frameworks: TensorFlow, PyTorch, Scikit-learn
- Hands-on experience with LLMs, agent frameworks (LangChain, AutoGPT, ReAct, etc.), and orchestration tools.
- Experience with AI observability tools and practices (e.g., logging, monitoring, tracing, metrics for AI agents or ML models).
- Solid understanding of model performance monitoring, drift detection, and responsible AI principles.
Responsibilities
- Design and deploy advanced AI agents that integrate deeply with business operations
- Tackle 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.
- Build intuitive UI with user-friendly natural language interfaces (e.g., chatbots, AI assistants) to allow users to interact with the data platform using natural language queries.
- Design, develop, and deploy agentic systems integrated into the data platform.
- Build dashboards and metrics pipelines to track key AI system indicators: latency, accuracy, tool invocation success, hallucination rate, and failure modes.
- Integrate observability tooling (e.g., OpenTelemetry, Prometheus, Grafana) with LLM-based workflows and agent pipelines.
- Leverage and extend open-source tools and technologies to build innovative solutions.
Other
- A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
- Passion for staying current with AI research, especially in the areas of reasoning, planning, and autonomous systems.
- A genuine excitement for AI and large language models (LLMs) is a significant advantage
- Passion for building safe, human-aligned autonomous systems.
- You're knowledgeable about open-source tools and technologies and know how to leverage and extend them to build innovative solutions.
