Industry/Sector
Not Applicable
Specialism
Data Analytics & AI
Management Level
Manager
Job Description & Summary
At 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 data analysis at PwC you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation visualisation and statistical modelling to support clients in solving complex business problems.
Job Title - Manager - Generative AI-Software Engineering
Exp 8 yrs
PwC US - Acceleration Center is seeking a seasoned GenAI Software Engineer to join our team as aManager. 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 andpossessexpert knowledge of programming event-driven architectures containerization and data lakes.
Responsibilities:
- Lead and manage a team of software engineers in developing implementing andmaintainingadvanced software solutions for GenAI projects.
- Engage with senior leadership and cross-functional teams to gather business requirementsidentifyopportunities 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 ofPythonORJavaas the primary programming language settinghigh standardsfor 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 acutting-edgeknowledge 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 bymaintainingandacquiringnew solution architecture certificates and adhering to industry best practices.
Requirements:
- PythonOR JavaProficiency:Minimum 3 years of hands-on experience building applications withPythonOR Java.
- Scalable System Design:Solid understanding of designing and architecting scalablePythonOR Javaapplications 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 withPythonOR Javaweb frameworks (FlaskFastAPI) for building web applications around AI models.
- Modular Design & Security:Demonstratedability 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):Strongproficiencyin 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 asLangChain Semantic KernelLlamaIndex
- Data Pipelines:Experience in setting up data pipelines for model training and real-time inference.
- Current solution architecture certifications anda commitmentto ongoing professional development.
Educational Background:
- BE / MCA / Degree/MBA/ Any degree
Travel Requirements
0%
Job Posting End Date
Required Experience:
Manager
Industry/SectorNot ApplicableSpecialismData Analytics & AIManagement LevelManagerJob 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...
Industry/Sector
Not Applicable
Specialism
Data Analytics & AI
Management Level
Manager
Job Description & Summary
At 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 data analysis at PwC you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation visualisation and statistical modelling to support clients in solving complex business problems.
Job Title - Manager - Generative AI-Software Engineering
Exp 8 yrs
PwC US - Acceleration Center is seeking a seasoned GenAI Software Engineer to join our team as aManager. 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 andpossessexpert knowledge of programming event-driven architectures containerization and data lakes.
Responsibilities:
- Lead and manage a team of software engineers in developing implementing andmaintainingadvanced software solutions for GenAI projects.
- Engage with senior leadership and cross-functional teams to gather business requirementsidentifyopportunities 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 ofPythonORJavaas the primary programming language settinghigh standardsfor 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 acutting-edgeknowledge 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 bymaintainingandacquiringnew solution architecture certificates and adhering to industry best practices.
Requirements:
- PythonOR JavaProficiency:Minimum 3 years of hands-on experience building applications withPythonOR Java.
- Scalable System Design:Solid understanding of designing and architecting scalablePythonOR Javaapplications 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 withPythonOR Javaweb frameworks (FlaskFastAPI) for building web applications around AI models.
- Modular Design & Security:Demonstratedability 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):Strongproficiencyin 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 asLangChain Semantic KernelLlamaIndex
- Data Pipelines:Experience in setting up data pipelines for model training and real-time inference.
- Current solution architecture certifications anda commitmentto ongoing professional development.
Educational Background:
- BE / MCA / Degree/MBA/ Any degree
Travel Requirements
0%
Job Posting End Date
Required Experience:
Manager
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