Generative AI Manager

As a Manager - Generative AI, you will be responsible for leading GenAI projects with production deployment experience. Your role will involve developing efficient system designs for Agentic architecture, implementing orchestration of agents, and sharing memory across agents. You will have a proven track record with event-driven architectures and real-time data processing systems. Key Responsibilities: - Lead GenAI projects with production deployment experience. - Develop efficient system designs for Agentic architecture. - Implement orchestration of agents and sharing memory across agents. - Utilize event-driven architectures and real-time data processing systems effectively. Qualifications Required: - Bachelors or masters degree in computer science, Data Science, or a related field. - 9+ years of relevant technical/technology experience, with expertise in GenAI projects. - Advanced programming skills in Python and data processing frameworks like Apache Spark. - Strong knowledge of LLMs foundational models like OpenAI GPT4o, O1, Claude, Gemini, etc. - Experience with Azure OpenAI Service, vector DBs, API integrations, prompt engineering, and model fine-tuning. - Knowledge of containerization technologies such as Kubernetes and Docker. - Comprehensive understanding of data lakes and data management strategies. - Proficiency in cloud computing platforms such as Azure or AWS. - Exceptional leadership, problem-solving, and analytical abilities. - Superior communication and collaboration skills. - Experience managing high-performing teams in a dynamic, fast-paced environment. (Note: Company details were not provided in the job description) As a Manager - Generative AI, you will be responsible for leading GenAI projects with production deployment experience. Your role will involve developing efficient system designs for Agentic architecture, implementing orchestration of agents, and sharing memory across agents. You will have a proven track record with event-driven architectures and real-time data processing systems. Key Responsibilities: - Lead GenAI projects with production deployment experience. - Develop efficient system designs for Agentic architecture. - Implement orchestration of agents and sharing memory across agents. - Utilize event-driven architectures and real-time data processing systems effectively. Qualifications Required: - Bachelors or masters degree in computer science, Data Science, or a related field. - 9+ years of relevant technical/technology experience, with expertise in GenAI projects. - Advanced programming skills in Python and data processing frameworks like Apache Spark. - Strong knowledge of LLMs foundational models like OpenAI GPT4o, O1, Claude, Gemini, etc. - Experience with Azure OpenAI Service, vector DBs, API integrations, prompt engineering, and model fine-tuning. - Knowledge of containerization technologies such as Kubernetes and Docker. - Comprehensive understanding of data lakes and data management strategies. - Proficiency in cloud computing platforms such as Azure or AWS. - Exceptional leadership, problem-solving, and analytical abilities. - Superior communication and collaboration skills. - Experience managing high-performing teams in a dynamic, fast-paced environment. (Note: Company details were not provided in the job description)