Generative AI -Software Engineer-Senior Associate

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll 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 difference—every day.

As a Generative AI Software Engineer Senior Associate you will design and develop client-focused data and AI solutions that transform raw data into usable insights and support informed decision-making. As a Senior Associate you will analyze complex problems, manage assigned workstreams, build meaningful client connections, and guide junior team members while navigating ambiguity and maintaining professional and technical standards within our Data and Analytics Engineering practice. In this role at PwC, you will contribute to data science work that includes exploratory and descriptive analysis, statistical modeling, and data visualizations, while using generative AI and software engineering skills to help address business challenges and support client engagement delivery.

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

- Bachelor's & Master's Degree

- 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.

Travel Requirements

Not Specified

Job Posting End Date