IN_Senior Associate_Gen AI_D&A_Advisory_Kolkata

PwC; Kolkata District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

PwC is seeking a Senior Associate in Data, Analytics & AI in Kolkata to drive GenAI initiatives, build scalable AI solutions, and integrate AI capabilities into client enterprise applications. You will work with Python/PySpark, LLMs, and vector databases to deliver strategic insights and performance improvements.

The role requires strong understanding of GenAI concepts, API development, and experience with cloud platforms (AWS preferred, Azure acceptable), within an Agile delivery context.

Qualifications

• Gen AI concepts including LLMs, prompt engineering, fine-tuning and model evaluation.
• Proficiency in Python/PySpark for AI development, data preprocessing and scripting.
• Hands-on experience in designing GenAI apps (chatbots, document summarization, code assistants, knowledge search).
• Embedding generation, vector databases (OpenSearch, Pinecone, FAISS) and RAG pipelines.
• FrameWorked with LangChain, Transformers, PyTorch/TensorFlow; LLM APIs and vector databases.
• Cloud deployment of scalable AI pipelines (AWS preferred; Azure acceptable).

Responsibilities

• DevelopGenAI features and apps (chatbots, summarization, code assistants).
• Design scalable AI pipelines on cloud platforms with cost controls.
• Integrate GenAI systems into enterprise apps through APIs and microservices.
• Collaborate with cross-functional teams in Agile delivery to drive BI and automation solutions.

Skills

Gen AI

Python/PySpark

LLM APIs

RESTful APIs

Git

Docker/Kubernetes

AI Governance

Education

MBA

MCA

B.Tech

Tools

LangChain

PyTorch/TensorFlow

OpenAI API

OpenSearch/Pinecone/FAISS

Job description

Line of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics & AIManagement LevelSenior AssociateJob Description & SummaryAt 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 PWCAt 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/PysparkPreferred 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 servicesYears of experience required:4 – 7 yrsEducation qualification:MBA/MCA/BtechEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Master of Business Administration, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsGenerative AIOptional SkillsAccepting 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}Desired Languages (If blank, desired languages not specified)Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End DateOctober 28, 2026