Convo & Agentic AI Developer -Senior Associate

Industry/Sector Not Applicable Specialism Customer Management Level Associate Job Description & Summary The Opportunity Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions.

You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration.

We’ll help you grow your skills so you can go further.

With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As a Convo & Agentic AI Developer - Senior Associate, you will be at the forefront of transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Within our Technology Consulting practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale.

Your work will involve designing AI systems, data wrangling, and software implementation to enable AI models to be useful and scalable.

As an Associate, you will focus on learning and contributing to client engagement and projects while developing your skills and knowledge to deliver quality work.

You will be exposed to clients to learn how to build meaningful client connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources.

In increasingly complex situations, you will build acumen to anticipate the needs of your teams and clients, embrace ambiguity, ask questions, and use these challenges as opportunities for growth.

In this role at PwC Acceleration Center India, you will take ownership and consistently deliver quality work that drives value for our clients and success as a team.

Design, build, and maintain intents, entities, dialog flows, and NLU models for voicebots/chatbots on one or more CCaaS platforms (e.g., NICE CXone, Genesys Cloud, Amazon Connect, Five9, Avaya, Twilio Flex). Configure and tune IVR call flows, DTMF/ASR grammar, barge-in, and voice biometrics settings for optimal containment and CSAT. Write, test, and iterate conversation scripts/prompts, handling edge cases, disambiguation, and graceful fallback/escalation to human agents. Monitor bot performance (containment rate, deflection, intent accuracy, CSAT) and continuously retrain/tune NLU models using production utterances. Design and build LLM-powered agents capable of multi-step reasoning, tool/API invocation, and task completion (e.g., order status lookup, refunds, appointment scheduling) within the contact center workflow. Implement RAG (retrieval-augmented generation) pipelines connecting agents to knowledge bases, CRM, ticketing, and backend systems for grounded, accurate responses. Orchestrate multi-agent workflows (e.g., using LangChain, LangGraph, Semantic Kernel, or platform-native agent builders) including handoffs between specialized agents and human-in-the-loop checkpoints. Apply prompt engineering, guardrails, and evaluation frameworks to ensure agent responses are accurate, safe, and on-brand. Collaborate with solution architects, QA, and platform teams to deploy, test, and support bots/agents in production environments. Document flows, prompts, agent logic, and integration architecture for handover, audits, and knowledge continuity. Design, develop, and maintain end-to-end applications supporting contact center operations, spanning front end interfaces, backend services, and data layers Implement backend business logic, orchestration layers, and serverless functions supporting contact center workflows Assist in solution design and architecture for chatbot, voicebot, and IVR journeys across multiple CCaaS platforms. Own end-to-end bot lifecycle: Conversation design, NLU/NLP model development, integration, testing, deployment, and post-go-live optimization. Integrate conversational solutions with CRM, ticketing, telephony (SIP/IVR), and backend enterprise systems using APIs, middleware, and webhooks. Define and enforce best practices, reusable components, and design standards across projects. Implement authentication, authorization, and secure data exchange patterns across application tiers Analyze application and system performance and proactively optimize scalability, reliability, and maintainability Collaborate with solution architects, product owners, and clients to translate business requirements into technical designs. Troubleshoot production issues and drive root-cause analysis for bot performance degradation. Support deployment, environment configuration, and release activities in partnership with DevOps teams Collaborate closely with product owners, architects, designers, and cross-functional development teams to ensure successful delivery of solutions Participate in architectural discussions, solution design reviews, code reviews, and best practice implementations Manage defects through triage, root cause analysis, and resolution within agreed quality standards Requirements Technical Skills: Hands-on experience with at least one CCaaS platform: NICE CXone, Genesys Cloud/PureCloud, Amazon Connect, Five9, Avaya, Twilio Flex, or similar. Practical experience building chatbots/voicebots using NLU engines such as Google Dialogflow, Amazon Lex, Microsoft Bot Framework/CLU, IBM Watson Assistant, or Nuance Mix. Working knowledge of LLMs and agentic frameworks (OpenAI/Anthropic APIs, LangChain, LangGraph, Semantic Kernel, or equivalent) and prompt engineering fundamentals. Understanding of RAG architecture, vector databases (Pinecone, Weaviate, FAISS), and basic API/webhook integration (REST, JSON). Familiarity with a scripting/programming language (Python, JavaScript/Node.js) for custom logic, integrations, or agent tooling. Strong analytical skills to interpret conversation logs, transcripts, and bot analytics dashboards to identify improvement areas. Clear written and verbal communication for documenting flows and collaborating with cross-functional teams. Proven track record independently owning at least one end-to-end conversational or agentic AI deployment from design through go-live.