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Engineer Analyst Contact Center Testing Automation & AI Enablement, Assurant, GCC-India The Engineer Analyst Contact Center Automation & AI Enablement is responsible for driving the automation of existing contact center processes and the practical adoption of AI across omnichannel contact center technologies, including voice, chat, and digital engagement channels. This role is embedded within the Business Analyst organization and serves as the technical execution partner, translating business requirements into automated, AI-enabled solutions that improve efficiency, customer experience, and agent effectiveness. A core accountability of this role is AI prompt scripting, orchestration, and optimization to ensure consistent, scalable, and compliant AI behavior across contact center use cases. The role works within one or more Agile scrum teams to partner closely to modernize workflows, reduce manual effort, and enable intelligent, data-driven contact center operations. partners with business, operations, and technology teams to deliver, test, implement, and support omnichannel Contact Center solutions. This role is responsible for translating business needs into functional requirements, user acceptance testing, supporting production issues, and driving continuous improvement of Contact Center platforms to ensure a high quality customer and agent experience. The Engineer supports moderate to highly complex initiatives and contributes to enterprise projects and corporate technology strategies. This position will be in Hyderabad at our India location. Work Timings: 3:30 PM IST ~ 12:30 AM IST. What will be my duties and responsibilities in this job Process Automation & Optimization - Drive identification, analysis, and automation of existing contact center processes, focusing on high-volume, high-impact workflows. - Translate business requirements into automated solutions using contact center platforms, APIs, and orchestration tools. - Design end-to-end automated workflows across voice, digital, CRM, and workforce systems. - Partner with Business Analysts to document current-state and future-state process designs, including automation opportunities. AI Enablement & Prompt Engineering - Design, develop, and maintain AI prompt scripts used by virtual agents, agent assist tools, knowledge retrieval systems, and internal automation. - Establish prompt engineering standards, versioning, testing, and governance to ensure accuracy, compliance, and repeatability. - Optimize AI prompts based on performance metrics, customer outcomes, and agent feedback. - Implement AI use cases such as virtual agents, intelligent routing, agent assist, summarization, sentiment detection, and workflow recommendations. Contact Center Technology Enablement - Configure and extend contact center platforms to support automation and AI-driven capabilities. - Collaborate with engineering teams to integrate AI services with contact center, CRM, and enterprise systems via APIs. - Support deployment, validation, and production rollout of automation and AI solutions. - Ensure solutions align with security, compliance, and data governance requirements. Cross-Functional Collaboration & Delivery - Act as a technical bridge between Business Analysts, Operations, IT, and vendors. - Participate in solution design workshops and backlog refinement sessions. - Provide technical guidance on feasibility, scalability, and maintainability of proposed solutions. - Support change management and adoption of automation and AI capabilities. Testing, Debugging, Test Management & Quality Assurance - Determine testing requirements for moderate to highly complex Contact Center initiatives based on business requirements, acceptance criteria, and Definition of Done. - Design and maintain test plans and test cases for voice, chat, and digital customer interactions, with strong emphasis on automation and AIenabled testing. - Execute automated and manual test scenarios across the project lifecycle, including: - IVR and call flow testing - Skillsbased routing and queue logic - Chat and messaging workflows - Chatbot and virtual assistant handoff scenarios - Identify, document, track, and communicate defects impacting customer experience, agent workflows, or system integrations. - Retest and validate defect resolutions and enhancements in a timely manner. - Ensure testing activities are completed accurately, on schedule, and within expected delivery timelines and budgets. Technical Expertise & Production Support - Provide production support for Contact Center platforms and integrated systems, including voice, chat, and digital channels. - Troubleshoot low to moderate complexity issues related to routing, call flows, chat queues, agent tools, and system integrations with limited direction. - Analyze incidents impacting Contact Center performance and partner with engineering teams on root cause analysis and remediation. - Document work requests .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.