Generative AI Architect- Senior Manager

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.

Years of Experience: Candidates with 12+ years of hands on experience

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.
  
  

• 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, 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 cross-functional 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 large-scale 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 event-driven architectures and real-time 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 fine-tuning. 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, problem-solving, and analytical abilities.
• Superior communication and collaboration skills, with experience managing high-performing teams.
• Ability to operate effectively in a dynamic, fast-paced 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.
  
  

• Any graduate /BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master’s Degree /MBA