1 день назад
AI/ML QA Architect (Generative AI)
78 - 80$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI/ML QA Architect (Generative AI): Designing and implementing quality strategies and automated testing solutions for enterprise AI/ML and Generative AI systems with an accent on LLMs, prompt engineering, RAG, MLOps, and Azure AI Foundry. Focus on building AI testing governance, integrating AI capabilities into QA ecosystems, and maintaining CI/CD pipelines with Azure DevOps and automation frameworks.
Location: Houston, Texas, United States; hybrid schedule with 3 days onsite
Salary: $78–$80 per hour
Company
provides enterprise technology and AI/ML solutions; this role supports a Halliburton client.
What you will do
- Design and implement QA strategies for AI/ML and Generative AI solutions.
- Apply Generative AI, LLMs, prompt engineering, RAG, NLP, and predictive analytics to enterprise initiatives.
- Support machine learning model development, deployment, MLOps, and lifecycle management.
- Build and maintain automated testing solutions using UFT, TOSCA, Selenium, Cypress, and Playwright.
- Design and maintain CI/CD pipelines, preferably with Azure Pipelines, and work with Azure DevOps.
- Establish QA methodologies, automation standards, governance, and best practices while collaborating with engineering, architecture, AI/ML, and business teams.
Requirements
- Legal authorization to work in the United States is required; all U.S. work authorization types are considered.
- 7+ years of experience in QA, software engineering, or architecture roles.
- 3+ years of hands-on experience with AI/ML technologies, including Generative AI, LLMs, prompt engineering, and RAG.
- Experience with machine learning model development and deployment, NLP, predictive analytics, MLOps, and model lifecycle management.
- Hands-on experience with Azure AI Foundry, Azure DevOps, enterprise QA environments, and test automation frameworks.
- Experience integrating AI capabilities into enterprise systems and establishing AI/ML quality governance and automation frameworks.
Nice to have
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Experience in large enterprise environments or the energy industry.
- Certifications in AI/ML, cloud architecture, or QA automation.
- Experience with Azure-based AI/ML architecture and delivery.
Culture & Benefits
- Inclusive workplace committed to equal consideration for qualified applicants.
- Opportunity to contribute to AI solution advisory, AI strategy and governance, and AI/GenAI research initiatives.
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