Senior AI Driven Test Automation Architect

Hewlett Packard Enterprise•San Jose, CA

7d•$120,000 - $243,000•Hybrid

About The Position

This role will own the architecture and evolution of enterprise-scale automation platforms spanning UI, API, integration, resiliency, and cloud-native validation. The ideal candidate has successfully designed and implemented automation platforms supporting large-scale enterprise applications and has demonstrated experience applying AI-powered solutions to software quality engineering challenges. You will partner with engineering, DevOps, platform, and AI teams to improve release confidence, reduce validation cycles, and drive predictive quality practices across the SDLC.

Requirements

8+ years of experience in test automation (API & UI), software quality engineering, or SDET roles with strong architectural ownership
3+ years Playwright and TypeScript experience with the ability to design scalable, maintainable automation frameworks from the ground up.
2+ yrs of experience using AI-assisted development tools such as GitHub Copilot or equivalent coding assistants to accelerate test automation and engineering workflows.
Hands-on expertise integrating automated testing into CI/CD platforms such as GitHub Actions, GitLab CI, Azure DevOps, Jenkins or equivalent platforms where AI is used to optimize or augment validation workflows and determine release readiness.
Expertise with containerization and orchestration technologies including Docker and Kubernetes.
Experience and knowledge of cloud platforms such as AWS, Azure, or GCP for automating the provisioning, configuration, and management of scalable test environments
Practical experience implementing AI-driven test case generation, including using LLMs to convert requirements/user stories into structured test scenarios and automation scripts.
Experience using AI-assisted debugging and failure analysis workflows to improve test reliability and reduce flaky tests.
Experience integrating AI/ML capabilities or AI agents into testing and quality engineering workflows.
Strong written and verbal communication skills capable of creating technical documentation, architectural guidance, communicating with engineers, architects, and senior leadership.
Bachelor's or Master’s degree in computer science, Information Systems, or equivalent.

Nice To Haves

Exposure to enterprise networking, cloud, or distributed system environments where AI is applied to testing complex systems.
Experience in Networking or Security Domain

Responsibilities

Architect and scale enterprise-grade automation frameworks for UI, API, integration, and end-to-end testing using Playwright and TypeScript.
Design scalable testing platforms integrated with CI/CD pipelines and cloud-native infrastructure.
Partner with platform and DevOps teams to provision scalable test environments using Kubernetes and Docker.
Drive shift-left quality practices by embedding automated quality gates early in the software development lifecycle.
Build observability-driven testing ecosystems with actionable reporting, diagnostics, and telemetry insights.
Lead the adoption of AI-assisted quality engineering practices including: AI-generated test creation, Autonomous test maintenance, Intelligent flaky-test analysis, and Defect prediction and root-cause insights
Evaluate and integrate LLM-powered testing solutions, AI agents, and GenAI developer productivity tools.
Define standards for automation architecture, framework governance, coding practices, and reusable testing libraries.
Mentor engineers and quality teams on modern automation design patterns and AI-enabled testing workflows.
Collaborate with engineering leadership to establish organization-wide quality engineering strategy and KPIs.
Contribute to architecture reviews, technical documentation, ADRs, and engineering best practices.