Ignite the Future of Language with AI at Teradata!

What You'll Do: Shape the Way the World Understands Data

 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.

 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.

 We are seeking a highly skilled Senior AI Engineer to drive the development and deployment of Agentic AI systems with a strong emphasis on AI observability and data platform integration. You will work at the forefront of cutting-edge AI research and its practical application—designing, implementing, and monitoring intelligent agents capable of autonomous reasoning, decision-making, and continuous learning.

 Who You'll Work With: Join Forces with the Best

 Imagine collaborating daily with some of the brightest minds in the company – individuals who champion diversity, equity, and inclusion as fundamental to our success. You'll be part of a cohesive force, laser-focused on delivering high-quality, critical, and highly visible AI/ML functionality within the Teradata Vantage platform. Your insights will directly shape the future of our intelligent data solutions.

 You'll report directly to the inspiring Sr. Manager, Software Engineering, who will champion your growth and empower your contributions.

 What Makes You a Qualified Candidate: Skills in Action

• Architect and implement Agentic AI systems capable of multi-step reasoning, tool use, and autonomous task execution.
• Build and maintain AI observability pipelines to monitor agent behavior, decision traceability, model drift, and overall system performance.
• Design and develop data platform components that support real-time and batch processing, data lineage, and high-availability systems for AI training and inference workflows.
• Integrate LLMs and multi-modal models into robust AI agents using frameworks like LangChain, OpenAI, Hugging Face, or custom stacks.
• Collaborate with product, research, and MLOps teams to ensure smooth integration between AI agents and user-facing applications
• Implement safeguards, feedback loops, and evaluation metrics to ensure AI safety, reliability, and compliance.
• Implement safeguards, feedback loops, and evaluation metrics to ensure AI safety, reliability, and compliance.
• Passion for staying current with AI research, especially in the areas of reasoning, planning, and autonomous systems.
• You are an excellent backend engineer who codes daily and owns systems end-to-end.
• Strong engineering background (Python/Java/Golang, API integration, backend frameworks)
• Strong system design skills and understanding of distributed systems.
• You’re obsessive about reliability, debuggability, and ensuring AI systems behave deterministically when needed.
• 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.

What You Bring: Passion and Potential

• A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field – your academic foundation is key.
• A genuine excitement for AI and large language models (LLMs) is a significant advantage – you'll be working at the cutting edge!
• Design, develop, and deploy agentic systems integrated into the data platform.
• 5+ years of experience in software architecture, backend systems, or AI infrastructure.
• Strong experience with LLMs, transformers, and tools like OpenAI API, Anthropic Claude, or open-source LLMs.
• Deep understanding of AI observability (e.g., tracing, monitoring, model explainability, drift detection, evaluation pipelines).
• 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.
• Familiarity with modern data platform architecture
• Strong background in distributed systems, microservices, and cloud platforms (AWS, GCP, Azure).
• Experience in software development (Python, Go, or Java preferred).
• Familiarity with backend service development, APIs, and distributed systems.
• Familiarity with containerized environments (Docker, Kubernetes) and CI/CD pipelines.
• Bonus: Research experience or contributions to open-source agentic frameworks.
• You're knowledgeable about open-source tools and technologies and know how to leverage and extend them to build innovative solutions.
• Preferred Qualifications
  
  • Experience with tools such as Arize AI, WhyLabs, Traceloop, or Prometheus + custom monitoring for AI/ML.
  • Contributions to open-source agent frameworks or AI infra.
  • Advanced degree (MS/PhD) in Computer Science, Artificial Intelligence, or related field.
  • Experience working with multi-agent systems, real-time decision systems, or autonomous workflows.

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