Geoscience QA Engineer for AI‑Driven Subsurface Workflows

Halliburton; Calgary; On-site; CAD 90,000 - 130,000; Full time

Job summary

Halliburton is seeking a QA Engineer / Geoscience SME to validate AI-driven geoscience workflows and subsurface automation. You will ensure accurate AI outputs, robust testing across web apps, APIs, and AI agents, and collaborate with engineers and geoscience experts to define acceptance criteria.

You will build test datasets, execute comprehensive test plans, and contribute to quality standards for AI-enabled applications, working within a Landmark Software & Services environment in Calgary.

Qualifications

• Bachelor's degree or higher in Geology, Geophysics, Petrophysics, Reservoir Engineering, Computer Science, or related discipline.
• 5+ years of experience in quality assurance, software validation, product testing, or geoscience workflows.
• Experience testing web-based applications and APIs.
• Strong analytical and troubleshooting skills.
• Experience creating test plans, test cases, and validation procedures.
• Ability to investigate and clearly document defects and unexpected system behavior.
• Strong written and verbal communication skills.
• Experience using AI-assisted tools to improve productivity and quality-related activities.

Responsibilities

• Develop and execute test plans, test cases, and validation scenarios.
• Validate end-to-end workflows across web applications, APIs, AI agents, and supporting services.
• Verify the quality and correctness of AI-generated outputs and workflow recommendations.
• Work with product owners and domain experts to define expected results and acceptance criteria.
• Identify, document, and track defects through resolution.
• Validate integrations between applications, services, AI agents, and external data sources.
• Participate in requirements reviews and help identify quality risks early in the development process.
• Perform functional, regression, integration, and user acceptance testing.
• Create and maintain test datasets representative of real geoscience workflows.
• Help establish quality standards and testing processes for AI-enabled applications.
• Use AI-assisted tools to improve testing, validation, documentation, and productivity.

Skills

QA methodology

Test planning

Defect documentation

Analytical thinking

Communication

AI-assisted tools

Education

Geology

Geophysics

Petrophysics

Reservoir Engineering

Computer Science

Related discipline

Tools

Azure DevOps

TestRail

SQL

Job description

Halliburton is seeking a QA Engineer / Geoscience SME to validate AI-driven geoscience workflows and subsurface automation. You will ensure accurate AI outputs, robust testing across web apps, APIs, and AI agents, and collaborate with engineers and geoscience experts to define acceptance criteria.

You will build test datasets, execute comprehensive test plans, and contribute to quality standards for AI-enabled applications, working within a Landmark Software & Services environment in Calgary.