Ai & Hybrid Cloud Architect Manager, Madrid

Jordan martorell s.l.; Madrid; Híbrido; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

A leading technology consulting firm is seeking an AI Hybrid Cloud Architect Manager to design innovative AI solutions. The ideal candidate has extensive experience in AI and hybrid cloud technologies, strong leadership skills, and a proven track record of client engagement. Join a diverse team, enjoy a hybrid work model, and benefit from competitive compensation and comprehensive benefits. The role is based in Madrid, Comunidad de Madrid.

Servicios

Medical and life insurance

Wellness programs

Flexible compensation

Formación

• At least 5 years of experience architecting hybrid cloud infrastructure technologies.
• Proven experience in AI architecture and development.
• Strong problem-solving skills and ability to work in a fast-paced environment.

Responsabilidades

• Design and implement AI solutions leveraging cloud platforms.
• Prepare and present proposals to clients.
• Develop and integrate advanced Python-based backend APIs.

Conocimientos

AI and automation experience

Hybrid cloud infrastructure experience

Leadership skills

Containerized deployments (Kubernetes)

Python development

Communication skills

Educación

Relevant certifications in cloud platforms and AI technologies

Herramientas

Kubernetes

AWS

Azure

Google Cloud

Oracle

Descripción del empleo

Overview

AI & Hybrid Cloud Architect Manager – Accenture

At Accenture, we believe in technology as the engine for reinvention. We work with leading platforms and partners to drive digitalization, AI, and data for our clients. We are a Great Place To Work with a global team of professionals. Accenture is seeking a highly skilled AI Hybrid Cloud Architect Manager to join our team. The ideal candidate has a strong background in AI technologies, cloud platforms, and advanced development frameworks, coupled with customer acumen, leadership skills, and experience in preparing proposals. This role involves designing, developing, and deploying cutting-edge AI solutions to drive business transformation for large customers and multinational organizations.

Key Responsibilities

• IA/GenAI/Agentic: Design and implement AI solutions leveraging public and private cloud platforms (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.
• Automation and Orchestration: 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.
• Provide leadership and collaboration with delivery teams and clients, including hands-on delivery and technical/presales support in proposals.
• English proficiency at C1 level or higher.

Key Strengths & Skills

• At least 5 years of experience architecting hybrid cloud infrastructure technologies.
• At least 3 years of experience in AI and automation.
• Expertise in hybrid cloud platforms with relevant certifications.
• Proficiency in Retrieval-Augmented Generation (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.
• Experience with multi-agent frameworks and large language model orchestration.
• Knowledge of Ansible Automation, Azure DevOps, Rundeck, CI/CD pipelines, Kubernetes, serverless architectures, SaaS, PaaS, and IaaS.
• Experience with IT Operations (ITOPS) and infrastructure managed services.
• Exceptional customer acumen and experience in preparing proposals.
• Leadership skills with the ability to guide teams and drive innovation.
• Experience working with large customers and multinational organizations.
• Strong soft skills: communication, collaboration, client engagement; hands-on delivery with clients and technical/presales support in proposals.

Qualifications

• Proven experience in AI architecture and development.
• Relevant certifications in cloud platforms and AI technologies.
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Excellent communication and collaboration skills.

Compensation & Benefits

Accenture offers a hybrid work model and a culture of inclusion and diversity. Benefits include medical and life insurance, wellness programs, flexible compensation and stock purchase options, flexible scheduling, individualized training itineraries, sustainability programs and Accenture Foundation, employee networks for diversity, and other benefits (e.g., special conditions and profit sharing).

Notes

Python, AWS, Azure, Google Cloud, Oracle are among the technologies highlighted.