Generative AI Architect- Senior 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 decisionmaking and driving business growth



Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes

Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decisionmaking and automation

• Design and implement scalable, secure, and highperformance architectures for Generative AI applications
  
  

• Integrate Generative AI models into existing platforms, ensuring compatibility and performance optimization
  
  

• Finetune pretrained generative models for domainspecific 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, Langraph, Agentic code, Agentflow)
  
  

• Stay up to date with the latest advancements in Generative AI and recommend innovative applications to solve complex business problems
  
  

• Define and execute the AI strategy roadmap, identifying key opportunities for AI transformation
  
  

• Collaborate with crossfunctional teams, including data scientists, engineers, and business stakeholders
  
  

• Mentor and guide team members on AI/ML best practices and architectural decisions
  
  

• Monitor the performance of deployed AI models and systems, ensuring robustness and accuracy
  
  

• Optimize computational costs and infrastructure utilization for largescale deployments
  
  

• Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks
  
  

• Implement safeguards to mitigate bias, misuse, and unintended consequences of Generative AI
  
  

• Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark
  
  

• Should have strong knowledge on LLM s foundational model (OpenAI GPT4o, O1, Claude, Gemini etc), while need to have strong knowledge on opensource Model s like Llama 3
  
  2, Phi etc
  
  

• Proven track record with eventdriven architectures and realtime data processing systems
  
  

• Familiarity with Azure DevOps and other LLMOps tools for operationalizing AI workflows
  
  

• Deep experience with Azure OpenAI Service and vector DBs, including API integrations, prompt engineering, and model finetuning
  
  Or equivalent tech in AWS/GCP
  
  

• Knowledge of containerization technologies such as Kubernetes and Docker
  
  

• Comprehensive understanding of data lakes and strategies for data management
  
  

• Expertise in LLM frameworks including Langchain, Llama Index, and Semantic Kernel
  
  

• Proficiency in cloud computing platforms such as Azure or AWS
  
  

• Exceptional leadership, problemsolving, and analytical abilities
  
  

• Superior communication and collaboration skills, with experience managing highperforming teams
  
  

• Ability to operate effectively in a dynamic, fastpaced environment
  
  

• Experience with additional technologies such as Datadog, and Splunk
  
  

• Possession of relevant solution architecture certificates and continuous professional development in data engineering and GenAI