Automation Architect

Job Description: Solution Architect, Quality Engineering 

Role Title: Solution Architect, Quality Engineering 

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Role Purpose 

The Solution Architect, Quality Engineering is a strategic technical leader responsible for driving Quality Engineering (QE) transformations. This role involves developing technical competencies, leading pre-sales engagements, and providing architectural oversight to deliver end-to-end quality solutions—including Automation, Process, Data, Environments, and AI that drive significant client value. 

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Key Responsibilities 

Results & Strategy 

• Design architecture, standards, and methodologies that drive innovation and quality across the QE lifecycle. 

• Develop comprehensive Quality Strategies and detailed Implementation Plans as core components of solution development. 

• Architect holistic solutions encompassing Test Process, Automation, Test Data Management (TDM), Test Environments, and DevOps integration. 

• Lead the integration of Applied AI Quality Engineering as a strategic differentiator for client offerings. 

• Work with Competency Owners to build robust, go-to-market materials that establish technical credibility. 

• Monitor and understand market trends (Agile, DevSecOps, AI-first) to keep the competency at the forefront of the industry. 

People Leadership 

• Provide technical leadership to project teams, coordinating activities across the delivery lifecycle. 

• Translate high-level strategies into actionable technical roadmaps for delivery teams. 

• Develop, coach, and inspire a high-performing team of professionals within the QE domain. 

• Foster a culture of innovation, risk-taking, and continuous skill-building in modern tools and methodologies. 

• Manage a span of control of up to 10 direct reports, focusing on engagement and retention. 

Client & Candidate Engagement 

• Lead pre-sales engagement processes, providing technical architecture, phased implementation roadmaps, and strategic vision for client-facing proposals. 

• Establish technical credibility in high-stakes client meetings as a subject matter expert. 

• Consult with stakeholders to design and implement complex QE transformations that solve specific business challenges. 

• Ensure client satisfaction by monitoring the quality, timeliness, and ROI of project deliverables. 

Thought Leadership 

• Conduct ongoing industry analysis to maintain subject matter expertise in QE transformation and AI. 

• Create and contribute to thought leadership (white papers, panels, conferences) to build the Experis brand. 

• Represent Experis as a leader in innovative quality solutions at industry events. 

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Required Skills and Experience 

• Technical Oversight: 5+ years of experience in the execution and oversight of complex QE or technical solution disciplines (Quality Engineering, DevOps, or Software Engineering). 

• Strategy & Planning: Proven ability to develop end-to-end Quality Strategies and multi-phased Implementation Plans that align technical solutions with client business objectives. 

• Pre-Sales & Consulting: Proven experience in a pre-sales or consulting capacity, including leading client engagements and developing technical solutions for formal proposals. 

• QE Domain Expertise: Deep expertise across the full QE spectrum, including Test Strategy/Process, Automation, Test Data Management (TDM), and Test Environments. 

• Coding Proficiency: Advanced proficiency in one or more core programming languages: Java, JavaScript, TypeScript, or C#. 

• Technical Testing: Strong experience in API Testing (REST/SOAP) and advanced SQL knowledge for data validation and backend testing. 

• Methodologies & Tools: Strong knowledge and practical experience with Agile and DevOps methodologies. Proficiency in CI/CD and tools such as Jenkins, Azure Pipelines, GitHub and Bitbucket is required. 

• Innovation: Experience or strong foundational knowledge in Applied AI Quality Engineering (e.g., AI-assisted testing, LLM validation). 

• Global Collaboration: Proven experience working effectively with geographically distributed teams and clients in a global or matrixed environment. 

• Operational Tools: High proficiency in Microsoft Office Suite (PowerPoint, Excel, Word) for creating technical proposals, complex reporting, and executive-level presentations. 

• Education: Bachelor’s degree in Computer Science, Information Technology, or equivalent professional experience. 

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Highly Desired Skills (Nice to Have) 

• Modern Automation: Hands-on experience or architectural mastery of Playwright or equivalent tools is highly desired. 

• Cloud Platforms: Experience with modern cloud platforms such as Azure, AWS, or Google Cloud Platform. 

• Continuous Quality: Expertise in shifting quality "Left" (early testing) and "Right" (monitoring/production testing) within a CI/CD pipeline. 

• Leadership Traits: Demonstrated ability to inspire accountability and collaborate effectively across matrixed organizations.