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Staff Engineer - AI Platform

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Teradata

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Location:
India , Telangana

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

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.

Job Responsibility:

  • Design and prototype interfaces for interacting with autonomous agents
  • Implement responsive, accessible, and explainable UI components that visualize AI decisions, uncertainty, and reasoning paths
  • Partner with AI researchers and software engineers to ensure interfaces support emerging agent capabilities
  • Conduct usability testing with humans-in-the-loop scenarios
  • Drive UX best practices around safety, trust calibration, and explainability for intelligent systems
  • Design and prototype intuitive, high-impact interfaces for interacting with autonomous and intelligent agents
  • Experiment with LLM APIs, agentic workflows, and cutting-edge open-source frameworks
  • Explore and implement planning systems, vector databases, or memory architectures such as graph-based storage on Teradata
  • Champion UX best practices around safety, trust calibration, and explainability for intelligent systems
  • Collaborate with AI researchers and software engineers to ensure interfaces evolve alongside emerging agent capabilities
  • Develop and enhance native notebook experiences that blend code, data, and visualization — enabling seamless interaction with LLMs, agents, and AI workflows
  • Embrace DevOps practices, integrating UI development with continuous integration and deployment pipelines for rapid iteration and smooth deployment
  • Implement unit tests for UI components to ensure reliability and maintain high-quality user experiences
  • 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

Requirements:

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
  • Experience in UI/UX design and frontend engineering
  • Proficiency in Angular, TypeScript, Figma, and design systems
  • Strong engineering background (Python/Java/Golang, API integration, backend frameworks)
  • Strong system design skills and understanding of distributed systems
  • Experience developing native notebook interfaces or extensions (e.g., Jupyter, VS Code Notebooks, or custom notebook UIs)
  • Strong understanding of human-computer interaction (HCI)
  • Experience designing interfaces for complex workflows or ML-powered products
  • Experience with LLM-based tools or agent orchestration (e.g., LangChain, AutoGen)
  • 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)
  • Experience in automating ML workflows using tools like Kubeflow, MLflow, or Argo Workflows
  • Knowledge of monitoring and scaling ML services on Kubernetes clusters (e.g., using Prometheus, Grafana, or KServe)

Nice to have:

  • A genuine excitement for AI and large language models (LLMs)
  • You're knowledgeable about open-source tools and technologies and know how to leverage and extend them to build innovative solutions
  • Passion for AI/ML, especially in building smart, agent-driven interfaces that feel human
  • Ownership mindset — you build, deploy, iterate, and scale with a long-term view
  • Unit Testing & Quality: Experience implementing unit tests for UI components to ensure robustness and maintainability
  • DevOps Familiarity: Comfortable with DevOps methodologies, including CI/CD processes to integrate UI development into automated deployment pipelines
  • Ownership Mindset: A proactive attitude towards taking responsibility for projects and a commitment to building, testing, iterating, and scaling UI solutions that meet both technical and user needs
  • Interest or experience in LLMs, autonomous agents, or AI tooling
  • Experience with AI observability tools and practices
  • Bonus: Research experience or contributions to open-source agentic frameworks
What we offer:
  • We prioritize a people-first culture
  • We embrace a flexible work model
  • We focus on well-being
  • We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are

Additional Information:

Job Posted:
January 04, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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