Gen AI - Manager

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

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.
  
  

If you are a highly skilled GenAI software engineer with a proven leadership background and a passion for pushing technological boundaries, join PwC US - Acceleration Center as a Manager. In this role, you will lead critical projects and play a key role in shaping the future of GenAI solutions in a vibrant and innovative environment. We offer competitive compensation and significant opportunities for career growth and professional development.

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, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.

As part of the GenAI Software Engineering team you will lead and manage a team of software engineers in developing advanced software solutions for GenAI projects. As a Manager you will oversee the use of containerization technologies, đảm bảo deployment and scalability while fostering collaboration among cross-functional teams. This position provides an exciting opportunity to drive innovation and enhance software engineering processes in a rapidly evolving field.

Responsibilities

• Oversee the development of innovative software solutions
• Manage a team of engineers to enhance project outcomes
• Confirm the use of containerization technologies for deployment
• Foster collaboration among cross-functional teams for project success
• Drive improvements in software engineering processes
• Mentor team members to promote professional growth
• Stay updated on advancements in software engineering
• Implement leading practices in project management and delivery
  
  

What You Must Have

• Bachelor's Degree
• 7 years of experience
• Oral and written proficiency in English required
  
  

What Sets You Apart

• Bachelor's Degree in Engineering or Technology
• Current solution architecture certifications preferred
• Experience with LLM frameworks or tools
• Setting up data pipelines for model training
• Familiarity with cloud-native development patterns
• Knowledge of CI/CD practices on cloud platforms
• Maintaining state-of-the-art knowledge in GenAI technologies
• Promoting a culture of excellence in software engineering