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.nnIn data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable effective data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.nnGenerative AI Architect - Manager (PwC US AC)nnPwC US - Acceleration Center is seeking a visionary Generative AI Architect at the Manager level. In this leadership role, you will design and deploy cutting-edge Generative AI solutions, leveraging technologies like Azure OpenAI Service, GPT models, and advanced data pipelines. You will drive innovation through scalable cloud architectures, optimize AI infrastructure, and lead cross-functional teams in implementing transformative AI solutions. The ideal candidate will bring deep expertise in Generative AI technologies, data engineering, and cloud platforms like Microsoft Azure, with a solid focus on operational excellence and ethical AI practices.nnResponsibilitiesnnArchitecture Design:nnnnDesign and implement scalable, secure, and high-performance architectures for Generative AI applications.Integrate Generative AI models into existing platforms, ensuring compatibility and performance optimization.nnModel Development And Deployment:nnFine-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).nnInnovation And Strategy:nnStay 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.nnCollaboration And Leadership:nnCollaborate with cross-functional teams, including data scientists, engineers, and business stakeholders.Mentor and guide team members on AI/ML best practices and architectural decisions.Should be able to lead a team of data scientists, GenAI engineers, devops and Software Developer.nnPerformance Optimization:nnMonitor the performance of deployed AI models and systems, ensuring robustness and accuracy.Optimize computational costs and infrastructure utilization for large-scale deployments.nnEthical And Responsible AI:nnEnsure compliance with ethical AI practices, data privacy regulations, and governance frameworks.Implement safeguards to mitigate bias, misuse, and unintended consequences of Generative AI.nnRequirements:nnBachelors or masters degree in computer science, Data Science, or a related field.6+ 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 LLMs foundational model (OpenAI GPT4o, O1, Claude, Gemini etc), while need to have strong knowledge on opensource Models 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.nnNice To Have Skills:nnExperience with additional technologies such as Datadog, and Splunk.Possession of relevant solution architecture certificates and continuous professional development in data engineering and GenAI.nnJoin PwC US - Acceleration Center as a 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 qualified growth. .nnThe OpportunitynnWhen 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 .

📌 GenAI Manager (Bengaluru)
🏢 PwC Acceleration Center India
📍 Bengaluru