GenAI Architect Washington - DC - District of Columbia

Sierra Business Solution - Washington, DC

Full-time - Senior

Washington, DC

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About the position

The GenAI Architect will lead the design, development, and deployment of a GenAI-based QA automation strategy across various software development teams. This role is essential for creating a cohesive, AI-driven automation framework that enhances product quality and streamlines development processes. The ideal candidate will leverage their technical expertise in QA automation and strategic insight into General AI applications to improve testing efficiency and accuracy.

Responsibilities

• Design and implement a robust, scalable GenAI-based QA automation strategy that supports Windows, iOS, cloud services, and firmware development.
• Standardize QA processes and tools across all teams, integrating GenAI technologies to automate testing tasks.
• Align technical architecture, design, and implementation with existing and future requirements by gathering inputs from multiple stakeholders.
• Define the AI architecture and select appropriate technologies and tools from a pool of open-source and commercial offerings.
• Evaluate and select third-party GenAI QA automation tools and services.
• Create and maintain comprehensive documentation of the QA automation framework, tools, and best practices.
• Educate and mentor team members in GenAI-based testing techniques, tools, and best practices.
• Assess and enhance the performance of the QA automation framework to guarantee high efficiency and reliability of testing operations.
• Promote cooperation among software development, QA, and IT operations teams.

Requirements

• 10+ years of experience in QA automation, including substantial expertise in formulating and executing QA automation strategies.
• Proven track record with GenAI tools & technologies and their application in QA automation.
• Proficiency in automation tools and frameworks, with a comprehensive understanding of testing in Windows, iOS, cloud platforms, and firmware environments.
• In-depth knowledge of software development life cycles, Agile methodologies, and DevOps/MLOps practices.
• Strong problem-solving abilities and creativity in a dynamic work setting.
• Exceptional communication and leadership skills.

Nice-to-haves

• Experience in designing and testing highly scalable, reliable automation platforms.
• Lead test automation framework design and deployment.
• Hands-on experience in Gen AI LLM (Azure Open AI) and Code Assistant tools like Github Copilot.
• Thorough knowledge of AI concepts (NLP, deep learning, ML and related adjacencies).
• Proficiency in AI frameworks and languages like Python, Java, C++.

Benefits

• Health insurance
• 401k
• Paid holidays
• Flexible scheduling
• Professional development opportunities