Senior QA Engineer (Gen AI Platform)

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 7, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior QA Engineer (Gen AI Platform) CDM Smith is seeking a Senior Quality Engineer to join our Digital Capital team. At CDM Smith, we see the value of what AI can bring to our company, and we are actively adopting and implementing co-pilots and Generative AI technologies to boost productivity across our business. As a Senior Quality Engineer you will be responsible for designing and implementing quality assurance processes to test AI models, applications, and infrastructure. You will collaborate with cross-functional teams to identify potential issues, optimize platform performance, and deliver high-quality AI-powered products that meet our use expectations. The ideal candidate for the Senior Quality Engineer role is a detail-oriented professional with a strong background in software testing and automation, coupled with a solid understanding of machine learning concepts. They have a proven track record of developing and executing comprehensive test plans, creating test automation frameworks, and ensuring the accuracy and performance of AI models. They are proactive and possess excellent communication skills that enable them to collaborate seamlessly with cross-functional teams and key stakeholders. Key responsibilities include: • Develop, implement, and maintain test strategies for AI models, APIs, and user-facing applications. • Create detailed test plans, test cases, and scripts to ensure comprehensive test coverage across the code base. • Test the accuracy, robustness, and model drift of various large language models. • Build and maintain automated testing frameworks for backend systems, APIs, and user interfaces. • Implement automated pipelines for model validation and regression testing during deployments.

Read the full description at sjobs.brassring.com. FewerJobs shows a preview and links to the original posting.