GenAI Architect

Overview:Primary SkillsGenAI & Agentic AI Expertise:Development of generative & predictive AI models (NLP, Computer Vision)Agentic workflows, multi-agent systems, reinforcement learningFrameworks: LangChain/LangGraph, Crew AI, Semantic Kernel, OpenAI Agentic SDKProgramming & ML Libraries:Python, SQLTensorFlow, PyTorch, scikit-learnPrompt Engineering:Zero-shot, few-shot, chain-of-thought techniquesCloud & Big Data:AWS, Azure, GCPDatabricks, PySparkSecondary SkillsAPI Architecture & Integration (REST, JSON, Authentication, Rate Limits)Deployment Tools: Azure DevOps, Docker, AWS ECS/EKS/FargateCI/CD: AWS CloudFormation, CodeDeployData Engineering: SQL & NoSQL (MySQL, MongoDB, Redis)Monitoring, Logging, Security & ComplianceKey ResponsibilitiesDesign & implement GenAI and predictive modelsDevelop agentic systems and autonomous AI agentsArchitect and integrate AI applications with APIsDeploy and maintain AI models in productionResearch emerging AI trends and integrate new toolsLead demos, proposals, and mentor junior team members