GenAI Manager

Bachelors 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. 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 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 .