Jobs at Teradata

As a Senior AI Engineer at Teradata, you will design and build agent-based AI solutions that enhance developer productivity, working on AI agents and platforms across the Software Development Lifecycle. You'll develop scalable, reliable systems with strong proficiency in backend technologies (Java, Go, Python), design RESTful APIs, work with SQL/NoSQL databases, and apply AI/ML technologies including agentic AI and LLMs.…See more The role requires 5+ years of experience in backend services, distributed systems, or data platform development, with hands-on expertise in Kubernetes, containerization, and cloud platforms. You will collaborate with cross-functional teams, mentor engineers, and stay current with emerging AI/ML and cloud-native technologies.

This Staff AI Engineer role focuses on architecting and implementing secure, scalable frameworks for autonomous AI agents at enterprise scale. The engineer will lead the technical roadmap for agent management—from provisioning and orchestration to compliance and retirement—while ensuring AI agents are secure by design with built-in visibility and guardrails.…See more The role requires 8+ years of software architecture and backend systems experience, deep knowledge of autonomous agent frameworks (LangChain, AutoGen, CrewAI), and expertise in cloud infrastructure (AWS, Azure, GCP) and Kubernetes. You'll collaborate cross-functionally with researchers, platform engineers, and product teams to bring agentic AI capabilities to production while establishing best practices for agent safety, observability, and ethical deployment.

Lead system-level design, integration, and validation of AI/GPU and database infrastructure platforms spanning compute, storage, networking, power, and thermal domains. Drive datacenter power architecture, thermal strategies, platform manufacturability, and cross-functional root-cause analysis across hardware, firmware, and systems engineering.…See more Develop validation tools in Python, Bash, or C, and influence platform architecture through technical insight on emerging infrastructure technologies. This is a broad systems engineering role requiring strong judgment operating across multiple engineering disciplines in enterprise and hyperscale environments.

Lead engineering and data science roadmap for Teradata's AI Platform, overseeing architecture, LLM integrations, RAG pipelines, vector store implementations, and data science experimentation frameworks. Partner with product, research, and engineering teams to define requirements for predictive modeling, multi-agent collaboration, and tool orchestration.…See more Manage and mentor a team of backend engineers, data scientists, and AI platform specialists while driving technical excellence, cloud-native practices, and platform scalability.

As a Staff AI Engineer, you will lead the design and evolution of Teradata's enterprise AI platforms, owning architecture decisions for agentic AI, LLM systems, RAG pipelines, and vector stores. You will operate with high autonomy, partner with product and architecture leadership, and drive technical strategy across multiple engineering teams.…See more The role requires 8+ years building backend services, distributed systems, or data/AI platforms, with strong proficiency in Java, Go, or Python and deep expertise in distributed system design, cloud-native architectures, and production AI systems. You will also mentor senior engineers, establish engineering standards, and serve as a technical escalation point for complex system design and reliability challenges.

As a Senior AI Engineer at Teradata, you will design and build agent-based AI solutions that enhance developer productivity, working on scalable AI platforms integrated with the Software Development Lifecycle. You'll develop high-quality backend services and APIs, experiment with LLMs and agentic AI technologies, and collaborate with cross-functional teams on Teradata's AI product roadmap.…See more Required skills include 5+ years of backend/distributed systems experience, proficiency in Java, Go, or Python, hands-on REST API design, SQL/NoSQL databases, Kubernetes, and familiarity with AI/ML technologies. You'll also mentor engineers and stay current with cloud-native and emerging AI/ML trends.

This Staff AI Engineer role focuses on architecting and implementing secure, scalable frameworks for autonomous AI agents at enterprise scale. You'll lead the technical roadmap for agent management—from discovery and provisioning through task orchestration—while ensuring safety, compliance, and governance by design.…See more Working cross-functionally with product, platform, and research teams, you'll build foundational infrastructure for multi-agent collaboration, memory management, and extensibility, driving adoption across the enterprise. The role requires 8+ years in software architecture, backend systems, and Kubernetes/AI infrastructure, with deep expertise in LLM frameworks (LangChain, AutoGen, CrewAI), cloud platforms (AWS, Azure, GCP), and identity/access control patterns.

Staff Virtualization Engineer responsible for designing, implementing, and maintaining Teradata's on-premises platform infrastructure with deep expertise in hypervisor technologies (VMware, KVM). The role involves software engineering duties including problem analysis, code review, design, development, testing, and troubleshooting of virtualized infrastructure; driving virtualization best practices; optimizing network hardware/software; performing root cause analysis; and collaborating with DevOps teams to build test automation and tools.…See more Requires expert knowledge of VMware (vSphere, vSAN, vMotion, vCenter, vRA), KVM, Harvester, Infrastructure as Code (Terraform), and proficiency in scripting languages (PowerCLI, Python, Go, PowerShell).

Lead multiple UI engineering teams building modern, scalable, AI-first user experiences for Teradata's cloud analytics platform. Own frontend architecture strategy using React and TypeScript, mentor engineering managers and senior engineers, and partner with product, design, and platform teams to translate AI capabilities into intuitive workflows.…See more This hands-on leadership role requires 12+ years of software engineering experience with 5+ years in engineering leadership, deep React expertise, and demonstrated ability to drive execution across organizational boundaries in fast-paced, platform-oriented environments.

As a Sr. Staff Software Engineer on Teradata's Database Query Optimization team, you will lead the design, development, and testing of advanced features for the Teradata SQL Engine, a leading cloud-based query optimization platform.…See more You will own all phases of the software development lifecycle, research and establish technical direction for complex feature development, and lead groups of engineers during feature implementation. Key responsibilities include designing and maintaining the LLVM-based query parsing engine, conducting competitive analysis of database management systems, and driving technical planning for large-scale initiatives across on-premises and hybrid cloud environments. You must have 10+ years of industry experience with deep expertise in C/C++, strong proficiency in Java, Python, R, and SQL, and demonstrated ability to design large-scale distributed systems and debug complex software in parallel processing environments.

As a Sr. Staff Software Engineer on Teradata's Database Query Optimization team, you will lead the design, development, and testing of advanced features for the Teradata SQL Engine—a cloud-based query optimization platform supporting massively parallel processing (MPP).…See more You will own all phases of the agile development lifecycle, establish technical direction for complex feature development, conduct competitive analysis of database management systems, and lead engineering teams during feature delivery. Required expertise includes 10+ years of experience (or equivalent with advanced degree), deep C/C++ proficiency with strong Java, Python, R, and SQL skills, and demonstrated ability to design large-scale, elastic, cloud database services and distributed systems. You will design, implement, and maintain the LLVM-based query parsing engine while partnering with feature managers on technical planning for large-scale initiatives.

Staff Software Engineer role leading the design, development, and evolution of networking software for Teradata's massively parallel processing (MPP) platform. Responsibilities include architecting scalable and fault-tolerant networking software for high-speed, low-latency interconnects, evaluating emerging technologies (DPUs, accelerators, interconnect fabrics), leading complex debugging and root-cause analysis across hardware/firmware/OS/networking layers, and mentoring engineers.…See more Required expertise: HPC and distributed systems development, Linux kernel and driver development in C, InfiniBand and Ethernet networking with RDMA/RoCE, TCP/IP and UDP networking, packet-level analysis tools, high-throughput low-latency protocol design, and proficiency in C, Bash, and Python.

As a Staff AI Engineer at Teradata, you will lead the design and evolution of large-scale, distributed AI systems and platforms, owning architecture decisions for agentic AI, LLM platforms, RAG pipelines, vector stores, and developer-facing AI systems. You will drive technical strategy across multiple engineering teams, design production-grade AI systems using LLMs and embeddings, and establish engineering standards for reliability, safety, and operational excellence.…See more This role requires 8+ years building backend services, distributed systems, or data/AI platforms, with strong proficiency in Java, Go, or Python and deep understanding of distributed system design, cloud-native architectures, and production data stores. You will mentor senior engineers, influence product roadmap decisions, and serve as a technical escalation point for complex system design and performance challenges.

As a Senior AI Engineer at Teradata, you will design and build agent-based AI solutions that enhance developer productivity, working on scalable, marketplace-ready platforms across the Software Development Lifecycle. You'll develop high-quality backend services and APIs, integrate AI/ML technologies including LLMs and agentic AI, and collaborate with cross-functional teams on Teradata's AI platform.…See more The role requires 5+ years of experience in backend services, distributed systems, or data platforms, with strong proficiency in Java, Go, or Python, and hands-on expertise in RESTful APIs, SQL/NoSQL databases, Kubernetes, and cloud platforms. You will also mentor engineers and stay current with emerging AI/ML and cloud-native technologies.

As Senior Manager of AI Governance Technology at Teradata, you will own the end-to-end technical architecture of the company's AI Governance Operating System, including intake pipelines, compliance monitoring, and agentic workflows. You'll lead the engineering of sophisticated automation using tools like n8n and Claude APIs, architect the AI tool registry, and design real-time monitoring systems that anticipate governance challenges.…See more You'll serve as the internal expert on Claude Enterprise, Microsoft Copilot, and Teradata AI Studio integrations, setting technical standards and specifications that guide the broader engineering team. This is a technical leadership role requiring deep expertise in enterprise AI governance, system architecture, and the ability to make complex engineering decisions with significant autonomy.

Lead end-to-end development of AI agents and autonomous engineering tools for Teradata's enterprise platform, managing multiple global engineering teams. Shape engineering strategy for agent platforms, LLM gateways, vector stores, observability frameworks, and low-code/no-code/pro-code agent frameworks.…See more Drive architecture standardization, governance practices, operationalization pipelines, and ROI metrics while partnering with product, architecture, and AI platform teams. Requires 12+ years software engineering experience with 5+ years in technical leadership, hands-on expertise with LLMs, agent frameworks, distributed systems, cloud platforms (AWS, Azure, GCP), and modern CI/CD tools.