Senior AI Engineer

Our Company

At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.

What You'll Do

We’re seeking a highly skilled Senior AI Engineer to develop intelligent, scalable, and cloud-native AI systems.

• Build intelligent automation and conversational capabilities using state-of-the-art GenAI and Agentic AI products.
• Develop and maintain MCP server integrations for robust and efficient runtime execution.
• Collaborate with product owners, architects, and cross-functional teams to deliver new features with a focus on scalability, performance, and usability.
• Build foundational infrastructure and tools for multi-agent collaboration, memory/context management, and extensibility.
• Drive enterprise-wide adoption of AI agents through easy integration and safe execution.
• Leverage containerization technologies (Docker, Kubernetes) for scalable, resilient deployments.
• Utilize AI-assisted development tools (e.g., GitHub Copilot, Claude, GPT, MCP-integrated IDEs) to enhance productivity and code quality.

Who You'll Work With

You’ll be part of Teradata’s global engineering organization, building the core technologies that power VantageCloud, our unified data and AI platform. The team operates at the intersection of cloud computing, advanced analytics, and AI-driven automation — enabling enterprises to manage and analyze data seamlessly across hybrid and multi-cloud environments.

Join us in solving some of the most complex challenges in scalability, performance, and interoperability, and help the world’s leading companies turn data into actionable insights and innovation.

What Makes You a Qualified Candidate

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• 4+ years of experience in building robust software applications and 2+ years designing and deploying systems on public cloud platforms such as AWS, Azure, or Google Cloud.
• Strong proficiency in Python, and experience with one or more additional languages such as Java, Go, or C++.
• Proven expertise in agent development, LLM integration, prompt engineering, and runtime systems.
• Hands-on experience with MCP servers, vector databases, RAG architecture, and NLP frameworks.
• Hands-on experience with context, memory management, observability and identity as core agentic AI features
• Familiarity with vector DBs, graph-based memory systems, and agentic frameworks.
• Familiarity with semantic/graph technologies, dimensional modeling, and BI tools.
• Familiarity with chain-of-graph, graph RAG, and similar frameworks.
• Proficiency in containerization, CI/CD pipelines, and cloud-native deployments (AWS, Azure, or GCP).
• Strong analytical and problem-solving skills in complex, distributed environments.
• Passion for building safe, human-aligned autonomous systems.
• Familiarity with backend service development, APIs, and distributed systems.
• Interest or experience in LLMs, autonomous agents, or AI tooling.
• Knowledge of open-source tools and technologies, and how to extend them for innovative solutions.

What You'll Bring

• Proven experience in developing, and deploying intelligent agents that can reason, plan, and act autonomously — securely and responsibly at scale.
• Expertise in building advanced agent-based architectures and runtime components for next-generation AI and LLM-driven solutions.
• Experience implementing agent management, governance, and compliance in safe and scalable Agentic AI systems.
• Ability to work effectively in cross-functional teams and contribute to a positive team culture.

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