Our Company

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

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

• Strong engineering background (Python/Java/Golang, API integration, backend frameworks)
• Hands-on experience with Machine learning & deep learning frameworks: TensorFlow, PyTorch, Scikit-learn. Knowledge of LLM and Fine tunning are must.
• Knowledge of GPU management is required.
• Integrate LLMs and multi-modal models into robust AI agents using frameworks like LangChain, OpenAI, Hugging Face, or custom stacks.
• Solid understanding of model performance monitoring, drift detection, and responsible AI principles.
• 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.
• Hands-on on system design skills and understanding of distributed systems.
• Good to have experience with 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).
• Knowledge in vector databases (Pinecone, Weaviate, Qdrant, ChromaDB), RAG architectures, and implementing semantic/episodic memory systems for persistent agent context.
• Implement safeguards, feedback loops, and evaluation metrics to ensure AI safety, reliability, and compliance.

What You Bring: Passion and Potential

• 2+ years of experience in software architecture, backend systems, or AI infrastructure.
• A Bachelor's or Master's degree in Computer Science, Engineering, or a related field – your academic foundation is key.
• Strong background in distributed systems, microservices, and cloud platforms (AWS/GCP/Azure).
• Familiarity with containerized environments (Docker, Kubernetes) and CI/CD pipelines.
• Experience in software development (Python, Go, or Java preferred).
• Familiarity with backend service development, APIs, and distributed systems.
• Experience with LLMs, transformers, and tools like OpenAI API, Anthropic Claude, or open-source LLMs.
• Familiarity with modern data platform architecture
• 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.
• Bonus
• 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.
• A genuine excitement for AI and large language models (LLMs) is a significant advantage – you'll be working at the cutting edge!

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