Industry/Sector
Not Applicable
Specialism
Product Innovation
Management Level
Senior 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.
- 684GenAI Architect
- Senior Manager (PwC US AC)
- Responsibilities:
- Architecture Design:
- ○ Design and implement scalable, secure, and high-performance architectures for Generative AI applications.
- ○ Integrate Generative AI models into existing platforms, ensuring compatibility and performance optimization.

Model Development and Deployment




- ○ Fine-tune pre-trained generative models for domain-specific use cases.
- ○ Data Collection, Sanitization and Data Preparation strategy for Model fine tuning.
- ○ Evaluate, select, and deploy appropriate Generative AI frameworks (e.g., PyTorch, TensorFlow, Crew AI, Autogen, LanggAgentic code, Agentflow).

Innovation and Strategy
- ○ Stay up to date with the latest advancements in Generative AI and recommend creative applications to solve complex business problems.
- ○ Define and execute the AI strategy roadmap, identifying key opportunities for AI transformation.

Collaboration and Leadership
- ○ Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders.
- ○ Mentor and guide team members on AI/ML best practices and architectural decisions.

Performance Optimization
- ○ Monitor the performance of deployed AI models and systems, ensuring robustness and accuracy.
- ○ Optimize computation

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