Requirements: 

• Bachelor’s or master’s degree in computer science, Data Science, or a related field. 

• 8+ 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. 

• Experience developing an efficient system design for Agentic architecture and implementing orchestration of agents and sharing memory across agents. 

• 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.