IN_Manager_Contact Centre Transformation_GCC_Advisory_Bangalore
PricewaterhouseCoopers
- Location
- Bengaluru Millenia
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 236 approvals (FY2023)
- Posted
- Sep 4, 2026
Skills
About this role
Line of Service Advisory Industry/Sector FS X-Sector Specialism Operations Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Summary- We are seeking a Senior Developer with deep expertise in contact centre transformation and advanced AI-driven automation . This role requires architecting scalable solutions, leading technical initiatives, mentoring junior engineers, and driving innovation across enterprise-grade customer engagement platforms. Looking for candidates with 4 - 8 years of experience.
Responsibilities
Lead the design and architecture of end-to-end contact centre transformation solutions . Build and optimize Voice Bots, Chatbots, Email Bots, multilingual conversational AI solutions . Architect Gen AI-powered Knowledge Bases (RAG) , Agent Assist frameworks , and Auto Quality Audit systems . Drive transformation projects using Genesys, Avaya, Amazon Connect, Google CCAI, Azure Cognitive Services, AWS Lex, Kore.ai, Yellow.ai . Integrate solutions with IVR systems, CRM platforms, ticketing modules, and backend APIs . Deliver high-quality solutions using Python, Node.js , microservices, and API-first design. Lead DevOps practices : CI/CD pipelines, containerization, cloud-native deployments. Ensure enterprise standards for security, scalability, resilience, and compliance . Mentor junior developers and collaborate with stakeholders to align technical solutions with business goals. Mandatory skill sets: 1. Contact Centre Platforms Genesys, Avaya, Amazon Connect, Google CCAI 2. Conversational AI & Bots Voice Bots, Chatbots, Email Bots Multilingual bot development Agent Assist, Auto QA frameworks 3. Gen AI & Knowledge Systems RAG-based Knowledge Bases Contextual AI-driven knowledge retrieval 4. CAI Tools Kore.ai, Yellow.ai Azure Cognitive Services, AWS Lex 5. Integrations IVR, CRM (Salesforce, Dynamics), Ticketing (ServiceNow, Zendesk) Backend APIs, microservices 6. Programming Expert in Python, Node.js Strong knowledge of microservices, API-first design, event-driven systems 7. DevOps & Cloud CI/CD pipelines, GitOps