QA Engineer IV
Listed on 2026-01-27
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IT/Tech
AI Engineer, Data Analyst, Cloud Computing, Data Science Manager
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Uniphore is one of the largest B2B AI-native companies—decades-proven, built-for-scale and designed for the enterprise. The company drives business outcomes across multiple industry verticals and enables the largest global deployments.
Uniphore infuses AI into every part of the enterprise that impacts the customer. We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you. We understand better than anyone how to capture voice, video and text and how to analyze all types of data.
As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data—all in the service of creating the most human processes and experiences for customers and employees.
Job DescriptionUniphore is the global leader in Conversational AI and Automation. We’re transforming the way enterprises engage with customers, employees, and data through voice, video, and text interactions. As part of our continued growth, we’re seeking an experienced Staff QA Engineer to lead quality initiatives across our AI-driven SaaS platforms.
Position OverviewAs a Staff QA Engineer at Uniphore, you’ll drive the strategy, design, and execution of large-scale QA initiatives for AI/ML and cloud-based applications. You’ll establish and evolve automation frameworks, define quality metrics, and partner cross-functionally with global engineering and product teams. This role is ideal for a hands‑on QA leader who thrives in fast-paced, distributed environments and is passionate about improving quality through innovation, automation, and AI.
Key Responsibilities- Lead QA strategy and roadmap for Uniphore’s AI and SaaS platforms, driving continuous improvements in automation, coverage, and release quality.
- Design and implement scalable automation frameworks for API, UI, and data validation testing using tools such as Selenium, Cucumber, Appium, or Rest Assured.
- Partner with Data Science and Engineering teams to validate AI/ML workflows, analytics pipelines, and model integration within production environments.
- Build and mentor global QA teams (US, India, LATAM) and establish a Testing Center of Excellence (TCoE) focused on quality metrics and process consistency.
- Lead efforts in performance, security, and regression testing, ensuring Uniphore’s enterprise platforms deliver reliability at scale.
- Perform root cause and trend analysis to identify process gaps and recommend automation or process enhancements.
- Document QA processes, release notes, and best practices in Confluence / Jira and maintain alignment with Agile/SAFe practices.
- Ensure end‑to‑end testing coverage across microservices, APIs, mobile, and web-based solutions in a multi‑tenant cloud environment.
- Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).
- 7+ years of QA experience.
- Proven track record in AI/ML, Cloud, and SaaS testing (preferably within healthcare, finance, or enterprise domains).
- Hands‑on expertise in automation tools:
Selenium, Appium, Rest Assured, Postman, JMeter, TOSCA, HP ALM, and Jenkins. - Strong programming/scripting skills in Python, Java, or C#.
- Deep understanding of Agile, Dev Ops, and CI/CD pipelines.
- Experience with version control systems such as Git.
- Sound knowledge of software QA methodologies, tools, and processes.
- Excellent leadership, communication, and mentoring skills.
- Global collaboration experience with distributed teams across India, US, LATAM, and EMEA.
- Proactive, self‑driven, and a quick learner.
- Experience testing AI/Conversational AI, NLP, or Speech Analytics applications.
- Knowledge of GenAI testing frameworks, LLM workflows, or chatbot testing methodologies.
- Familiarity with Service Now, People Soft, or CRM system integrations.
$154,400 - $212,300 – Primary
Location:
USA – CA – Palo Alto.
The specific rate will depend on the successful candidate's qualifications and prior experience.
In addition to competitive base…
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