Sr. Staff AI Engineer
Teradata · Posted Oct 2
Cloud data warehousing, analytics, and enterprise artificial intelligence services
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About the role
Teradata's Autonomous Knowledge Platform unifies data, knowledge, and business context to activate enterprise intelligence, with deployments available on premises, in the cloud, or through a hybrid approach. The team builds large-scale, distributed AI systems spanning agentic AI, LLM platforms, retrieval augmented generation, vector stores, and developer-facing AI services. This senior technical leadership role owns architecture-level decisions for the AI platform, drives technical strategy across multiple engineering teams, and mentors Senior and Staff engineers.
What you will do
- Lead the design and evolution of largescale, distributed AI systems that power Teradata’s AI platform and AI native products.
- Own end-to-end architecture for critical AI capabilities such as agentic workflows, RAG pipelines, vector search, semantic retrieval, and AI orchestration frameworks.
- Drive technical strategy and architectural consistency across multiple engineering teams.
- Design and implement production grade AI systems using LLMs, embeddings, vector databases, and agent based architectures.
- Build scalable, secure, and reusable platform services and APIs supporting AI workloads across the software development lifecycle.
- Define and implement guardrails for reliability, safety, governance, and cost control in enterprise AI systems.
- Partner with product management, architecture, research, and cloud platform teams to translate business requirements into scalable AI solutions.
- Influence roadmap decisions by providing deep technical insight, tradeoff analysis, and long-term platform thinking.
- Act as a technical escalation point for complex system design, performance, and reliability challenges.
- Drive best practices for testing, observability, evaluation, and production readiness of AI systems.
- Identify systemic performance bottlenecks and lead efforts to optimize distributed systems and AI pipelines.
- Establish engineering standards that improve development velocity, quality, and operational resilience.
- Mentor Senior and Staff level engineers, providing guidance on architecture, design reviews, and technical decision making.
- Raise the overall engineering bar through design forums, technical reviews, and knowledge sharing.
- Lead by example through hands on contributions to the most complex and business critical problems.
Skills used in this role
What the employer is looking for
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
- 10+ years of experience building backend services, distributed systems, or data/AI platforms.
- Strong proficiency in Java, Go, or Python, with experience building largescale services.
- Deep understanding of distributed system design, scalability, fault tolerance, and cloud native architectures.
- Proven experience designing and operating production systems with SQL and NoSQL data stores.
- Experience with LLMs, embeddings, vector databases, and AI orchestration frameworks.
- Exposure to agentic AI patterns such as tool calling, planning, memory, and multi-step reasoning.
- Experience building or operating AI systems in cloud environments (AWS, Azure, or GCP).
- Familiarity with Kubernetes, Docker, CI/CD pipelines, and production-grade observability.
Benefits and support
- Flexible work model (how, when, and where you work)
About Teradata
Teradata is a global enterprise software company specializing in multi-cloud data warehousing, analytics, and artificial intelligence solutions. Its flagship offerings, including Teradata VantageCloud and ClearScape Analytics, help organizations turn enterprise data into trusted, autonomous actions. The company serves leading global enterprises across industries such as financial services, retail, healthcare, and telecommunications.
- Industry
- Software
- Company size
- 5000-10000 employees
- Founded
- 1979
- Location
- San Diego, California, USA
- Funding stage
- Public Company
Leadership
President and Chief Executive Officer
John Ederer
Chief Financial Officer
Louis Landry
Chief Technology Officer
Sumeet Arora
Chief Product Officer
Michael Hutchinson
Chief Operating Officer
Recent coverage
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