AI Engineer - Test & Quality Enablement
Teradata · Posted Oct 7
Cloud data warehousing, analytics, and enterprise artificial intelligence services
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About the role
Teradata's Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context, allowing organizations to connect and scale on premises, in the cloud, or through a hybrid approach. This role supports the organization's transition toward AI-assisted test and quality engineering by developing and integrating AI-powered tools, agents, and skills. The AI Engineer will work on test case creation, test execution workflows, failure analysis and log summarization, and embed AI-enabled features into existing test automation frameworks and CI pipelines.
What you will do
- Develop and enhance AI-assisted tools and scripts to support:
- Test case creation and updates
- Test execution workflows
- Failure analysis and log/result summarization
- Assist in building AI agents or skills that help test engineers reduce manual effort and improve turnaround time.
- Integrate AI-enabled features into existing test automation frameworks and pipelines.
- Write clean, reliable code (primarily Python) to support AI tools and automation use cases.
- Contribute to automation workflows used across test, CI, and integration environments.
- Help instrument and collect data needed for test analytics and insights.
- Partner with test engineers, SDETs, and internal engineering teams to understand pain points and translate them into AI-assisted solutions.
- Work with senior engineers to implement designs, follow coding standards, and apply best practices.
- Actively learn and experiment with AI/ML and generative AI techniques relevant to test automation.
- Participate in building or extending shared AI agents or internal tools that can be reused across teams.
- Contribute to documentation and usage guidelines to support adoption of AI-based tools.
Skills used in this role
What the employer is looking for
- Bachelor’s degree in Computer Science Engineering, or related field.
- 2–4 years of experience in software engineering, test automation, or related roles.
- Strong programming skills in Python; experience with automation frameworks is a plus.
- Foundational knowledge or hands-on exposure to: AI/ML concepts or generative AI tools, LLMs, prompt-based solutions, or automation using AI services
- Familiarity with test automation concepts, CI pipelines, and Linux/Unix environments.
- Good problem-solving skills and willingness to learn new technologies.
Preferred qualifications
- Experience contributing to automation or quality engineering platforms.
- Exposure to containers (Docker) or cloud-based execution environments.
- Experience using AI tools to assist with coding, testing, or analysis.
- Interest in building internal developer productivity or quality tools.
Benefits and support
- Flexible work model — decide 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
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