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Industry/Sector Not Applicable Specialism Product Innovation Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Senior Associate GenAI Software Engineer (PwC US) PwC US - Acceleration Center is seeking a highly skilled and experienced Senior Associate GenAI Software Engineer to join our team. As a GenAI Software Engineer, you will play a critical role in developing and implementing software solutions for our GenAI projects. The ideal candidate should have a strong background in software engineering, with a focus on GenAI technologies, and possess a solid understanding of programming, event-driven architectures, containerization, and data lakes. Responsibilities Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies.Design, develop, and maintain software solutions for GenAI projects.Implement event-driven architectures to enable real-time data processing and analysis.Utilize containerization technologies like Kubernetes for efficient deployment and scalability.Develop and maintain data lakes for storing and managing large volumes of structured and unstructured data.Utilize Python as the primary programming language for software development.Collaborate with data scientists, data engineers, and DevOps engineers to ensure smooth integration and deployment of GenAI models and applications.Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance software engineering processes.Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.Document software engineering processes, methodologies, and best practices.Maintain solution architecture certificates and stay current with industry best practices.Requirements Python Proficiency: Minimum 3 years of hands-on experience building applications with Python. Scalable System Design: Solid understanding of designing and architecting scalable Python applications, particularly for Gen AI use cases, with a strong understanding of various components and systems architecture patterns to make cohesive and decoupled, scalable applications. Web Frameworks: Familiarity with Python web frameworks (Flask, FastAPI) for building web applications around AI models. Modular Design & Security: Demonstrated ability to design applications with modularity, reusability, and security best practices in mind (session management, vulnerability prevention, etc.,). Cloud-Native Development: Familiarity with cloud-native development patterns and tools (e.g., REST APIs, microservices, serverless functions). Cloud Deployments: Experience deploying and managing containerized applications on Azure/AWS (Azure Kubernetes Service, Azure Container Instances, or similar). Version Control (Git): Strong proficiency in Git for effective code collaboration and management. CI/CD: Knowledge of continuous integration and deployment (CI/CD) practices on cloud platforms. Preferred Skills Gen AI Frameworks: Experience with LLM frameworks or tools for interacting with LLMs such as LangChain, Semantic Kernel, LlamaIndex Data Pipelines: Experience in setting up data pipelines for model training and real-time inference. Professional and Educational Background: BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA The Opportunity When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, youll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. Youll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.As part of the Data Engineering team you will design and develop software solutions for GenAI projects, collaborating with cross-functional teams to drive innovation. As a Senior Associate, you will analyze complex technical challenges, mentor junior engineers, and contribute to impactful projects that shape the future of GenAI technologies. This position offers a unique opportunity to enhance your technical skills and personal brand in a collaborative environment.Responsibilities Design and develop software .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.