01Overview
The Opportunity
Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. Youll work at the heart of global teams across Advisory, Assurance, Tax and Business Servicessolving real client challenges through connected collaboration. Well help you grow your skills so you can go further.
With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a differenceevery day.
As a Generative AI - Software Engineer - Senior Associate, you will be at the forefront of transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Data and Analytics Engineering practice, you will leverage advanced analytics and statistical techniques to extract insights from large datasets, focusing on exploratory and descriptive analysis, statistical modeling, and creating data visualizations to solve complex business problems.
As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing increased ambiguity. You will use critical thinking to break down complex concepts and develop a deeper understanding of the business context.
In this role at PwC Acceleration Center India, you will focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Your work will involve using a broad range of tools and methodologies to generate new ideas and solve problems, ultimately driving data-driven decision-making and informing strategic decisions.
Responsibilities
Collaborate with cross-functional teams to understand business needs and translate them into backend functionalities for GenAI and Agentic AI projects.
Design, develop, and maintain scalable backend solutions, including event-driven architectures and integration with external systems/APIs.
Manage data storage solutions using relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases to support AI applications in production.
Utilize containerization (Kubernetes) and implement DevOps practices, including CI/CD pipelines (Azure DevOps, GitHub Actions), for efficient deployment and scalability.
Build and integrate APIs using Python frameworks (Flask, FastAPI) and collaborate with data scientists, engineers, and DevOps teams for seamless AI model deployment.
What You Must Have
At least a Bachelor's & Master's degree
At least 4 years of experience
Oral and written proficiency in English required
What Sets You Apart
Proficient with LLM interaction frameworks like LangChain, Semantic Kernel, and LlamaIndex, and experienced in integrating, scaling, and deploying GenAI and agentic applications in production.
Skilled in setting up data pipelines for both model training and real-time inference to support AI workloads efficiently.
Advanced Python expertise including OOP, asynchronous programming (asyncio), concurrency (multithreading, multiprocessing), design patterns, memory management, and performance optimization for scalable GenAI systems.
Strong foundation in data structures, algorithms, software design principles (SOLID, clean architecture), and hands-on experience with cloud-native development on Azure/AWS, including serverless, microservices, and container orchestration (Kubernetes, Docker).
Experience with additional OOP languages (Java, C++, C#) and familiarity with WebSocket implementations for real-time application functionality. .
