IN_Senior Associate_Gen AI_D&A_Advisory_Kolkata

Advisory

Not Applicable

Data, Analytics & AI

Senior Associate

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 optimise business performance and enhance competitive advantage.

*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 about us.

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: A career within…. 

 

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 

 

Years of experience required: 

4 – 7 yrs 

Education qualification: 

MBA/MCA/Btech

Generative AI

Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Digital Tooling, Embracing Change {+ 27 more}

Not Specified

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October 28, 2026