AI & Hybrid Cloud Architect - Manager

At Accenture, we believe in technology as the engine for the total reinvention of ձևសុខភាព, driving clients' businesses through digitalization, AI, and data. Join a Great Place To Work® and a team of over 801,000 professionals worldwide. AI & Hybrid Cloud Architect Manager The ideal candidate will have a strong background in AI technologies, cloud platforms, and advanced development frameworks, coupled with exceptional customer acumen, leadership skills, and experience preparing proposals. This role involves designing, developing, and deploying cutting-edge вся AI solutions to transform business for large customers and multinational organizations. Key Responsibilities * Design and implement AI solutions leveraging public and private cloud platforms (unicated: AWS, Azure, Google Cloud, Oracle, etc.). * Orchestrate multi-agent frameworks and large language models. * Architect and implement Retrieval-Augmented Generation (RAG) systems, embeddings, and vector databases. * Utilize

AI/data science platforms, MLOps tools, and NLP pipelines to deliver scalable AI solutions. * Demonstrate customer acumen and leadership in client engagements, ensuring alignment with business needs. Prepare and present proposals to clients, showcasing innovative AI solutions tailored to their requirements. * Stay updated on market trends in cloud, AI, and on-premises data centers to provide strategic insights. * Develop and integrate advanced Python-based backend APIs. * Deploy containerized solutions using Kubernetes, service mesh, and CI/CD automation. * Architect hybrid cloud infrastructure technologies, ensuring robust and scalable solutions. * Leverage expertise in IT Operations (ITOPS) and infrastructure managed services to optimize performance and reliability. Key Strengths & Skills * At least 5 years of experience architecting hybrid cloud infrastructure technologies. * At least 3 years of experience working in AI and automation. * Expertise in hybrid cloud platforms, with relevant certifications. * Proficiency in RAG architectures, embeddings, and vector databases. * Strong knowledge of containerized deployments (Kubernetes), service mesh, and CI/CD automation. * Familiarity with AI/data science platforms, MLOps tools, and NLP pipelines. * Knowledge of market trends in cloud, AI, and on-premises data centers. * Advanced Python development and backend API integration. * Deep experience in multi-agent frameworks and large language model orchestration. * Knowledge of Ansible Automation, Azure DevOps, Rundeck, CI/CD pipelines,] #J-18808-Ljbffr