# IN\_Senior Associate GEN AI Engineer\_ Emerging Technologies\_ Advisory\_ BangalorePwCBengaluru, IndiaPosted 24 Jun 2026PwC is hiring a GenAI Engineer to join their advisory emerging technologies team in Bengaluru. The role focuses on designing, developing, and deploying scalable generative AI solutions using LLMs and transformer architectures. You will utilize Python, PyTorch, and orchestration frameworks like LangChain while integrating these models into enterprise systems. The position requires strong cloud infrastructure knowledge and experience with MLOps best practices.Matched by TALApply to this role now. Install TAL for a 24/7 AI agent that keeps finding roles personalised for you.Apply nowInstall TALExperience3-5 yearsFunctionEngineeringWork modeOnsite, IndiaCompanyTier 2## What you will work onPwC is hiring a GenAI Engineer to join their advisory emerging technologies team in Bengaluru. The role focuses on designing, developing, and deploying scalable generative AI solutions using LLMs and transformer architectures. You will utilize Python, PyTorch, and orchestration frameworks like LangChain while integrating these models into enterprise systems. The position requires strong cloud infrastructure knowledge and experience with MLOps best practices.## TAL's takeQuality 65/1005/5 clarityTier 2 companySolid mid-level role at a global firm with well-defined technical scope in the high-demand GenAI space.Very clear, structured JD detailing specific frameworks, tools, and responsibilities for a GenAI engineering role.## Salaries at PwC16.4 LPA averageBased on 848 Grapevine salary entries for PwC.View all salariesEngineering0 - 2 years | L17 LPA averageRange: 4 - 9 LPAEngineering2 - 4 years | L17 LPA averageRange: 4 - 12 LPAEngineering4 - 6 years | Senior associate12 LPA averageRange: 6 - 21 LPAEngineering6 - 8 years | Senior Consultant16 LPA averageRange: 8 - 21 LPA## Must haves* Generative AI (LLMs, Transformers)* Python, PyTorch, Hugging Face Transformers* Azure/AWS/GCP cloud platforms* LangChain/Langgraph or similar orchestration frameworks* REST APIs, FastAPI, Flask* ML pipeline tools (MLflow, Weights & Biases)* Git, CI/CD for ML## Tools and skillsgenerative aillmstransformerspythonpytorchhugging face transformersazureawsgcplangchainlanggraphrest apisfastapiflaskmlflowweights & biasesgitci/cd for mlazure mlsagemaker pipelinesNice to have: rag, faiss, pinecone, weaviate, streamlit, gradio, docker, kubernetes, data preprocessing, feature engineering, spacy, nltk.