Senior Cloud AI Engineer
Teradata · Posted Oct 16
Cloud data warehousing, analytics, and enterprise artificial intelligence services
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About the role
Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context so organizations can deploy AI agents on premises, in the cloud, or through a hybrid approach. This role sits in a high-performing engineering team building core components of Teradata's AI platform, working alongside engineers, AI/ML specialists, product managers and cloud architects. The Senior Cloud AI Engineer designs and delivers scalable cloud-native and on-prem infrastructure, distributed systems, IaC automation and RESTful APIs, and applies AI/ML technologies including agentic AI and large language models.
What you will do
- Design, develop, and maintain high quality cloud native or on-prem infrastructure with an emphasis on scalability, availability, resiliency, and performance.
- Design and review large-scale distributed systems supporting multi cloud deployments.
- Use IaC and automation tools such as Terraform to ensure infrastructure changes are reliable, repeatable, and version controlled.
- Develop self-service platforms and tools that improve developer productivity and streamline deployment lifecycles.
- Collaborate with cross-functional engineers and product partners to shape the product and enable consistent delivery of end to end features.
- Build and integrate robust RESTful APIs, ensuring security, data consistency, and maintainability.
- Work with SQL and/or NoSQL databases to implement efficient data models and service access patterns.
- Implement comprehensive monitoring, logging, and alerting systems.
- Apply and experiment with AI/ML technologies, including agentic AI and large language models (LLMs).
- Use AI powered engineering tools to improve development quality, speed, and productivity.
- Use engineering standards and best practices.
- Mentor engineers, supporting them in technical planning and execution.
- Identify and resolve system performance bottlenecks, optimizing code, design, and infrastructure.
- Write unit and integration tests and participate in code reviews to uphold engineering excellence.
- Investigate production issues, ensuring timely and effective solutions.
- Stay current with emerging trends in infrastructure engineering, AI/ML, and cloud-native technologies.
Skills used in this role
What the employer is looking for
- Bachelor's degree in Computer Science or equivalent from a recognized institution.
- 4+ years of experience in infrastructure, networking, devops or cloud technologies.
- Hands-on expertise with public cloud providers such as AWS, Azure, or GCP, cloud APIs and SDKs, or infrastructure components such as VPC/VNet, API gateways, storage or compute.
- Experience with virtualization/container orchestration technologies like Kubernetes, Istio or Docker.
- Advanced proficiency in automation tools like Terraform and Helm.
- Experience with configuration management tools like Chef or Puppet.
- Strong proficiency in languages like Python, Go, or Bash for services development and scripting.
- Familiarity with CI/CD pipelines and tools such as Jenkins, GitHub Actions or ArgoCD.
- Good understanding of design principles, distributed system patterns.
- Familiarity with security, compliance, IAM and observability.
- Hands-on experience designing and developing RESTful APIs.
- Experience with SQL or NoSQL databases and data modelling.
- Strong debugging, problem solving, and troubleshooting skills.
- Experience with AI productivity tools such as Claude Code or GitHub Copilot.
- Ability to work independently, drive workstreams, and deliver high quality outcomes.
- Strong communication and collaboration skills.
Preferred qualifications
- Familiarity with infrastructure KPIs and cost optimization.
- Experience with messaging systems such as Kafka.
- Experience experimenting with or implementing AI/ML technologies, Agentic AI, or LLMs.
- A track record of influencing infrastructure design decisions and driving engineering best practices.
- The ability to mentor engineers and guide them through design, planning, and execution.
- A proactive mindset and comfort working in fast paced, dynamic environments.
- Curiosity, adaptability, and a passion for building impactful AI-driven products.
Benefits and support
- Compensation and benefits are detailed in the job posting
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
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