IN_Senior Associate_Gen AI_D&A_Advisory_Kolkata

PwC Service Delivery Center; Kolkata District; On-site; INR 1,800,000 - 3,600,000; Full time

Job summary

PwC Service Delivery Center in India invites experienced AI professionals to join our business intelligence and GenAI initiatives, developing data-driven insights for clients and building scalable GenAI solutions.

You will work with Python/PySpark, LLM APIs, embeddings, vector databases, and cloud platforms (AWS preferred, Azure acceptable), focusing on secure, cost-efficient enterprise deployments and cross‑functional collaboration.

Qualifications

• Generative AI knowledge and Python/PySpark proficiency are mandatory.
• Experience designing GenAI apps (chatbots, document summarization, code assistants) is a plus.
• Exposure to ETL processes and data governance is desirable.

Responsibilities

• Develop and implement GenAI solutions to optimise business performance.
• Build and deploy scalable AI pipelines on cloud platforms (AWS preferred).
• Integrate GenAI systems with enterprise applications via APIs and microservices.

Skills

Gen AI

Python/PySpark

Education

MBA/MCA/Btech

Tools

RESTful APIs

Git

Docker

Kubernetes

AWS SageMaker

Job description

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.

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 ETL (Extract, Transform, Load) processes
• Knowledge of data governance, ethical AI principles, and responsible AI practices
• Knowledge in AWS or Azure Data Engineering services

Experience

4 - 7 yrs

Education

MBA/MCA/Btech

Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering

Required Skills

• Generative AI

Optional Skills

• 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.