Software Engineer, AI Engineer, Machine Learning​/ ML Engineer

Overview

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 Clear Scape 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
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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.

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.

• Experience working with modern data platforms like Teradata, Snowflake, and Databricks

• 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 :
  Tensor Flow, PyTorch, Scikit-learn

• Hands-on experience with LLMs , agent frameworks (Lang Chain, 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.

• 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.

• 3+ years of experience in software architecture, backend systems, or AI infrastructure.

• Strong knowledge of LLMs, RL, or cognitive architectures is highly desirable.

• 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 containerized environments (
  Docker ,
  Kubernetes ) and CI/CD pipelines.

• Experience with
  AI observability tools and practices (e.g., logging, monitoring, tracing, metrics for AI agents or ML models).

• Build dashboards and metrics pipelines to…