Gen 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 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 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 innovative 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 computational costs and infrastructure utilization for large-scale deployments.

Ethical And Responsible AI:

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

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

Requirements:

• Bachelors or master’s degree in computer science, Data Science, or a related field.
• 13+ years of relevant technical/technology experience, with significant expertise in GenAI projects with production deployment experience.
• 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.
  
  

Nice To Have Skills:

• Experience with additional technologies such as Datadog, and Splunk.
• Possession of relevant solution architecture certificates and continuous professional development in data engineering and GenAI.
  
  

Join PwC US - Acceleration Center as a Senior Manager in GenAI Data Engineering to lead transformative projects and drive innovation in a collaborative and forward-thinking environment. We offer a competitive compensation package and significant opportunities for career advancement and professional growth.

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 Data and Analytics Engineering team you will lead transformative projects in Generative AI, driving innovation and collaboration. As a Senior Manager, you will serve as a strategic advisor, leveraging your knowledge to design and implement top-performing architectures while mentoring exceptional teams. Join us at PwC US - Acceleration Center to shape the future of AI solutions and enjoy a competitive compensation package with ample opportunities for professional growth.

Responsibilities

• Lead innovative projects in Generative AI to drive transformation
• Serve as a strategic advisor in designing top-performing architectures
• Mentor and develop top-performing teams to enhance collaboration
• Identify and implement solutions that leverage advanced data analytics
• Foster a culture of innovation and continuous improvement
• Collaborate with cross-functional teams to achieve project goals
• Maintain alignment with industry standards and leading practices
• Contribute to the strategic direction of AI solutions within the firm
  
  

What You Must Have

• Bachelors Degree in computer science, Data Science, or a related field
• 13 years of experience in technical/technology roles
• Oral and written proficiency in English required
  
  

What Sets You Apart

• Bachelors or masters degree in Computer Science or Data Science preferred
• Possession of relevant solution architecture certificates preferred
• Advanced programming skills in Python
• Proficiency in data processing frameworks like Apache Spark
• Knowledge of foundational models such as GPT-4 and Claude
• Experience with event-driven architectures and real-time data processing
• Familiarity with Azure DevOps and LLMOps tools
• Understanding of containerization technologies like Kubernetes and Docker
• Ability to operate effectively in a dynamic, fast-paced environment

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