IN_Sr Associate_Chatbots / Voicebots_GCC_Advisory_Hyderabad
PwC is hiring an IN_Sr Associate_Chatbots / Voicebots_GCC_Advisory_Hyderabad (India). Level rates it ; you can apply on Level.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- PwC mentions visa sponsorship in this posting.
- Tools and skills the posting cites include OpenAI, Anthropic and Chatbots.
- Level lists 3,800+ other open roles at PwC.
- The role was posted in the last few days.
AI in this role
Design and architect advanced AI-driven contact centre automation, chatbots, and voicebots for enterprise clients.
Line of Service
AdvisoryIndustry/Sector
FS X-SectorSpecialism
OperationsManagement Level
Senior AssociateJob 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
.
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 Description & Summary
Contact Centre Transformation (strong chat and voice AI)
Role Overview
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.
Required Skills & Experience
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
Docker, Kubernetes
AWS, Azure, GCP cloud-native deployments
8. Enterprise Practices
Security-first design, compliance (GDPR, HIPAA, PCI-DSS)
Performance optimization and monitoring
Scalability and high availability architectures
Any one preferred certification
Contact Centre & Conversational AI
Genesys Certified Professional / Engineer
Avaya Certified Implementation Specialist (ACIS) or Avaya Certified Support Specialist (ACSS)
Amazon Connect Specialist Certification
Google Cloud Contact Center AI (CCAI) Certification
Kore.ai Certified Developer
Yellow.ai Platform Certification
Cloud & DevOps
AWS Certified Solutions Architect – Professional
Microsoft Certified: Azure Solutions Architect Expert
Google Cloud Professional Cloud Architect
Certified Kubernetes Administrator (CKA)
Docker Certified Associate
What We Offer
Opportunity to lead cutting-edge AI-driven contact centre transformation projects.
Exposure to global enterprise clients and large-scale deployments.
A culture of innovation, mentorship, and continuous learning in AI, NLP, and automation.
Competitive compensation and growth opportunities into architectural and leadership roles.
Basic Qualifications
• Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or a related fields.
Mandatory Skill sets:
Advanced Python programming with expertise in async programming and API developmenT
Experience with vector databases and embedding models
Proficiency in implementing RAG pipelines and knowledge retrieval systems
Familiarity with prompt engineering and LLM optimization techniques
Experience with development frameworks and tools
Knowledge of modern software development practices (Git, CI/CD, testing)
Preferred Skill sets:
Multiple LLM providers (OpenAI, Anthropic, etc.)
Tools for agent orchestration and workflow management
Natural Language Processing (NLP) techniques
Container technologies (Docker, Kubernetes)
Understanding of semantic search and information retrieval concepts
Knowledge of agent alignment and safety considerations
Years of Experience Required:
4 to 7yrs
Education Qualification:
BE/Btech/MCA/Mtech/MBA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering, MBA (Master of Business Administration)Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Agentic AIOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, AI Fluency, AI-Human Collaboration, Analytical Thinking, Automation Algorithms, Automation Engineering, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation Studio, Automation System Efficiency, Blue Prism, Business Analysis, Business Performance Management, Business Process Analysis, Business Process Automation (BPA), Business Transformation, Business Value Optimization, C++ Programming Language, Cognitive Automation, Communication, Conducting Discovery {+ 39 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
September 15, 2026How we rate this
IN_Sr Associate_Chatbots / Voicebots_GCC_Advisory_Hyderabad at PwC rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Tell me about a workflow you automated with AI tools, end to end.
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- What have you built with speech recognition or text-to-speech, and where did it break?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, AI Automation, NLP, and Speech. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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