Senior AI Engineer – Test & Quality Enablement

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 are seeking a highly experienced Senior AI Engineer to lead the design and development of AI agents, skills, and internal tools that materially accelerate test development, automation, execution, and analysis. This role sits at the intersection of quality engineering, internal tooling, and applied AI, and will help scale AI adoption across test and quality teams while contributing reusable agent capabilities for broader engineering teams.

You will own end‑to‑end delivery of AI‑powered solutions - from problem discovery and technical design through production implementation, measurement, and iteration - while partnering closely with quality engineers, platform teams, and architects.

Key Responsibilities

1) AI Agents & Skills for Test and Quality Engineering

Design and deliver agentic solutions that help engineers and SDETs:

Generate, refine, and maintain test cases and test assets

Automate repetitive testing workflows

Summarize failures and recommend likely causes using logs, traces, and run artifacts

Improve feedback loops through intelligent prioritization and actionable insights

Build and evolve AI capabilities that enhance test coverage, selection, and execution efficiency, including intelligent test optimization use cases .

2) AI‑Powered Test Automation Frameworks & Pipelines

Architect and implement AI‑powered test automation frameworks and tooling that are scalable and resilient .

Develop self‑healing/adaptive automation approaches that reduce maintenance overhead as UI/API/data layers evolve .

Integrate intelligent testing into CI/CD pipelines and engineering workflows in partnership with DevOps/Platform teams .

3) Quality Signals, Analytics & Continuous Improvement

Analyze test run data and quality signals to identify patterns, anomalies, and improvement opportunities, and translate them into tooling/agent enhancements .

Build automated workflows for complex validation scenarios (e.g., integration/system validation, data integrity checks) where applicable to your ecosystem .

4) Technical Leadership & Enablement

Provide technical direction, code reviews, and mentorship to engineers contributing to AI‑assisted testing initiatives .

Evaluate and integrate third‑party AI testing tools and platforms where they accelerate outcomes, with attention to maintainability and fit .

Contribute to evolving standards and best practices for AI‑assisted test development and automation .

Who You’ll Work With

Quality engineering (SDETs/QA), internal engineering tooling, and architecture partners

AI‑assisted testing frameworks and automation pipelines

Cross‑team internal users adopting AI‑enabled engineering practices (test and beyond)

What Makes You a Qualified Candidate

Bachelor’s/Master’s in Computer Science or equivalent.

5+ years experience in software engineering and/or test automation (including building frameworks/tools used by other engineers).

Strong proficiency in Python and Linux/Unix environments .

Demonstrated applied experience using AI/ML and/or generative AI to improve engineering workflows (testing, automation, developer productivity).

Proven track record integrating automation into CI/CD pipelines and delivering maintainable systems adopted by teams .

Strong problem solving, design skills, and ability to deliver across ambiguous problem spaces.

What You'll Bring

Hands‑on experience building AI agents (planning/tool use, retrieval, evaluation) for internal engineering.

Experience with Docker and modern test execution environments; Kubernetes is a plus .

Experience with test intelligence use cases such as defect prediction, test selection optimization, or coverage insights .

Experience establishing team practices around AI solution quality, safety, and operational readiness.

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Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.