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 Description:
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. Expertise using AI tools for automation.
Partner with Data Science and Engineering teams to validate AI/ML workflows, analytics pipelines, and model integration within production environments.
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.
Qualifications
Bachelor’s degree in Computer Science, Engineering
7–10+ years of experience in Software Quality Assurance, including significant automation experience.
Expert-level proficiency in at least one programming language (e.g., Java, Python, JavaScript, TypeScript).
Ability to understand complex features, write quality test cases, and automation test scripts with the right level of validation and assertions.
Strong hands-on experience creating and maintain custom test automation frameworks
Experience testing complex systems for end-to-end, longevity, reliability, migration, and performance testing.
Experience using building and deploying AI testing strategies for foundation models, prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG) or Generative AI frameworks (LangChain, Guidance etc)
Deep understanding of CI/CD workflows and tools (e.g., Jenkins, GitHub Actions, GitLab CI, CircleCI).
Proven ability to understand complex, distributed systems and design test strategies for them
Excellent analytical, debugging, and problem-solving skills.
Preferred Skills
Familiarity with microservices architectures and related testing methodologies.
Experience with performance/load testing tools (JMeter, Gatling, k6).
Hands on experience with cloud platforms (GCP/AWS/Azure). Familiarity with at least one of them is ideal.
Experience working in Agile/Scrum environments.
Prior mentorship or leadership experience in QA teams.
Prior experience of testing data driven applications.
Location preference:
Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.
For more information on how Uniphore uses AI to unify—and humanize—every enterprise experience, please visit www.uniphore.com.
Top Skills
What We Do
The Uniphore Business AI Cloud spans agents, models, knowledge, and data, combining the simplicity of consumer AI with the rigor, security, and scalability the enterprise demands. Business users can harness AI effortlessly and deliver outcomes immediately, while CIOs gain the foundation to build powerful AI applications embedded into workflows and trained on enterprise data. Built for the Enterprise, backed by AI Leaders Backed by NVIDIA, AMD, Snowflake, and Databricks, Uniphore brings a unique combination of capital and strategic alignment — validating its position as the definitive Business AI leader. Recent acquisitions of ActionIQ, Infoworks, Orby AI, and Autonom8 further cement Uniphore's AI talent depth and accelerate outcomes for clients. A Complete, Composable Platform Uniphore is designed to be: Sovereign — run on any public cloud, private cloud or on-premises with full control over your data and AI models. Composable — choose your layer, model, or component—vector DBs, knowledge graphs, data compute, and beyond. Secure — embedded guardrails, observability, and AI security ensure trusted, compliant, and enterprise-grade protection. Trusted at Scale Over 2,000 global businesses — including many of the Fortune 500 — rely on Uniphore every day to drive growth, improve efficiency, and deliver personalized customer experiences. Customers include leaders across industries, like Skechers, LastPass, Atlassian, HP, Allstate, Sony, and more. Industry Recognition Named to Inc.'s Best in Business List Listed on the Deloitte Technology Fast 500 Recognized in reports by Gartner, Forrester, and IDC From Pilot to Production Through strategic collaborations with industry leaders like KPMG, Cognizant, Rackspace, Databricks and Snowflake, Uniphore helps organizations move beyond experimental AI pilots to production-grade deployment — operationalizing AI agents across internal and client-facing workflows at scale.
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