IN_Manager_ GenAI_Data & Analytics_Advisory_PAN India

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimize business performance and enhance competitive advantage.

Job Position Title:

IN_Manager_ GenAI_Data & Analytics_Advisory_PAN India

Job Description

Responsibilities:

• Strong understanding of Generative AI concepts including Large Language Models (LLMs), prompt engineering, fine-tuning, and model evaluation.

• Proficiency in Python/PySpark for AI development, data preprocessing, and scripting.

• Hands-on experience in designing and implementing GenAI applications such as chatbots, document summarization tools, code assistants, or knowledge search solutions.

• Deep understanding of embedding generation, vector databases (e.g., Amazon OpenSearch, Pinecone, FAISS), and retrieval-augmented generation (RAG) pipelines.

• Proficiency in Python and frameworks such as LangChain, Transformers, and PyTorch/TensorFlow.

• Experience with LLM APIs (e.g., OpenAI, Anthropic, Claude, Llama, etc.) and vector databases (e.g., OpenSearch, Pinecone, FAISS).

• Ability to design and deploy scalable AI pipelines leveraging cloud platforms — preferably AWS, but Azure experience is also acceptable.

• Understanding of data security, access control, and cost optimization in a cloud environment.

• Strong knowledge of API development, microservices, and integration of GenAI systems into enterprise applications.

• Strong understanding and hands-on experience with AWS AI and ML services, including Bedrock, SageMaker, Lambda, Step Functions, API Gateway, and CloudWatch.

• Familiarity with cloud-native AI services such as AWS Bedrock, SageMaker, or Azure OpenAI.

Mandatory skill sets:

GEN AI, Python/Pyspark

Preferred skill sets:

• Proficiency in developing and integrating RESTful APIs

• Understanding of version control systems, such as Git.

• Experience in MLOps/DevOps practices for model deployment and monitoring.

• Exposure to containerization (Docker, Kubernetes) for AI workloads.

• Knowledge of AI governance, ethical AI, and responsible AI frameworks.

• Strong analytical and problem-solving abilities, with a focus on performance optimization.

• Experience working in Agile delivery environments and collaborating with cross-functional teams.

• Experience integrating GenAI systems with business intelligence or automation solutions (e.g., chatbots, document summarization, code generation).

• Proven experience in designing and implementing Extract, Transform, Load (ETL) processes

• Knowledge of data governance, ethical AI principles, and responsible AI practices.

• Knowledge in AWS or Azure Data Engineering services

Mandatory skill sets:

GenAI/LLM/RAG/MCP

Preferred skill sets:

GenAI/LLM/RAG/MCP

Years of experience required:

5-8Years

Education qualification:

B.E/B.Tech/MBA/M.E/M.Tech