Convo & Agentic AI Developer -Senior Associate

About this role

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Skills you'll use

What you'll do

• 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.

Who can apply

• 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.
• Experience defining evaluation metrics/test suites for LLM agent quality (accuracy, hallucination rate, task success rate).

About PwC

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