Industry/Sector
Not Applicable
Specialism
Data Analytics & AI
Management Level
Manager
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.
Job Description: GenAI Software Engineering - Manager (PwC US)
PwC US - Acceleration Center is seeking a seasoned GenAI Software Engineer to join our team as a Manager. This role is pivotal in leading the development and implementation of innovative software solutions for our GenAI projects. The ideal candidate should have a robust background in software engineering with a deep focus on GenAI technologies and possess expert knowledge of programming event-driven architectures containerization and data lakes.
Responsibilities:
Lead and manage a team of software engineers in developing implementing and maintaining advanced software solutions for GenAI projects.
Engage with senior leadership and cross-functional teams to gather business requirements identify opportunities for technological enhancements and ensure alignment with organizational goals.
Design and implement sophisticated event-driven architectures to support real-time data processing and analysis.
Oversee the use of containerization technologies such as Kubernetes to promote efficient deployment and scalability of software applications.
Supervise the development and management of extensive data lakes ensuring effective storage and handling of large volumes of structured and unstructured data.
Champion the use of Python as the primary programming language setting high standards for software development within the team.
Facilitate close collaboration between software engineers data scientists data engineers and DevOps teams to ensure seamless integration and deployment of GenAI models.
Maintain a cutting-edge knowledge base in GenAI technologies to drive innovation and enhance software engineering processes continually.
Translate complex business needs into robust technical solutions contributing to strategic decision-making processes.
Establish and document software engineering processes methodologies and best practices promoting a culture of excellence.
Ensure continuous professional development of the team by maintaining and acquiring new solution architecture certificates and adhering to 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.
Current solution architecture certifications and a commitment to ongoing professional development.
Travel Requirements
Not Specified
Job Posting End Date
Required Experience:
Manager
Industry/SectorNot ApplicableSpecialismData Analytics & AIManagement LevelManagerJob Description & SummaryAt 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 ...
Industry/Sector
Not Applicable
Specialism
Data Analytics & AI
Management Level
Manager
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.
Job Description: GenAI Software Engineering - Manager (PwC US)
PwC US - Acceleration Center is seeking a seasoned GenAI Software Engineer to join our team as a Manager. This role is pivotal in leading the development and implementation of innovative software solutions for our GenAI projects. The ideal candidate should have a robust background in software engineering with a deep focus on GenAI technologies and possess expert knowledge of programming event-driven architectures containerization and data lakes.
Responsibilities:
Lead and manage a team of software engineers in developing implementing and maintaining advanced software solutions for GenAI projects.
Engage with senior leadership and cross-functional teams to gather business requirements identify opportunities for technological enhancements and ensure alignment with organizational goals.
Design and implement sophisticated event-driven architectures to support real-time data processing and analysis.
Oversee the use of containerization technologies such as Kubernetes to promote efficient deployment and scalability of software applications.
Supervise the development and management of extensive data lakes ensuring effective storage and handling of large volumes of structured and unstructured data.
Champion the use of Python as the primary programming language setting high standards for software development within the team.
Facilitate close collaboration between software engineers data scientists data engineers and DevOps teams to ensure seamless integration and deployment of GenAI models.
Maintain a cutting-edge knowledge base in GenAI technologies to drive innovation and enhance software engineering processes continually.
Translate complex business needs into robust technical solutions contributing to strategic decision-making processes.
Establish and document software engineering processes methodologies and best practices promoting a culture of excellence.
Ensure continuous professional development of the team by maintaining and acquiring new solution architecture certificates and adhering to 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.
Current solution architecture certifications and a commitment to ongoing professional development.
Travel Requirements
Not Specified
Job Posting End Date
Required Experience:
Manager
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