Join Avanade’s Global Integrated Center of Excellence (ICOE) as a hands-on AI Application Architect, helping design intelligent, agentic, cloud‑native applications. You will apply advanced AI techniques to accelerate every phase of the delivery lifecycle—from analysis and design to build, test, deploy, and operate—driving transformation across complex enterprise landscapes. 

Come join us 

As part of the Application & Infrastructure SME team within the ICOE, you will focus on modern application architecture while pioneering the use of agentic AI in real delivery scenarios. You will collaborate closely with Avanade Regions on both direct and indirect deals, supporting them during solutioning phases as well as during critical delivery phases. Whether modernizing legacy systems or building solutions from scratch, you will apply agentic AI to transform how projects are executed end‑to‑end. 

This is a unique opportunity to influence Avanade’s architecture direction, elevate engineering productivity, and lead high-impact initiatives across Azure, AWS, and GCP. 

What you’ll do 

• Architect AI‑powered applications using autonomous and semi‑autonomous agentic frameworks. 

• Apply AI agents across all delivery phases: analysis, design, build, test, deploy, and operations. 

• Modernize legacy applications using agentic AI for discovery, transformation, and refactoring. 

• Define end‑to‑end architectures integrating traditional software, LLMs, vector stores, and orchestration. 

• Drive AI adoption within Avanade Regions enabling them to shape AI‑driven solution roadmaps. 

• Contribute to solution planning and design across multi‑disciplinary and multi‑cloud environments. 

• Develop accelerators, reference architectures, and reusable assets for agentic AI patterns. 

• Guide engineering, data, and DevOps teams on integrating AI automation and pipelines. 

• Travel occasionally for high‑value client engagements. 

Quieres recibir formación en últimas tecnologías Microsoft? ¿Quieres aprender y trabajar en un ambiente dinámico en una empresa Top Employer?

¡Únete a nuestro Avanade Campus, el programa de prácticas que comienza en Octubre 2026 en una de las áreas más demandadas del mercado, Software Engineering con tecnologías Microsoft.

Como estudiante en la Practice de Software Engineering, tendrás parte de formación específica al departamento y aplicarás los conocimientos adquiridos participando en proyectos con nuestros clientes.

Key Responsibilities:

 Participarás en proyectos tanto internos como externos donde adquirirás experiencia: 

• Desarrollo y mantenimiento de Web APIs sencillas con .NET Core 

• Desarrollo y mantenimiento de aplicaciones web sencillas con Angular 

• Pruebas unitarias y de componentes del código utilizado 

• Trabajo en equipo con compañeros de Avanade y del grupo Accenture que te ayudarán en el desarrollo de tus tareas 

• Trabajo con herramientas en la nube de Microsoft (Azure) para la gestión de tus tareas (Azure Boards) 

• Trabajo con herramientas en la nube para los proyectos y para tus propias pruebas de concepto gracias a la Subscripción de Visual Studio que Avanade pone a tu disposición 

• Trabajo con diferentes metodologías (clásicas en V o en Cascada) o frameworks Ágiles de trabajo (como Scrum o SAFe) dependiendo del proyecto 

• Puesta en práctica de buenas prácticas de desarrollo y de Programación Orientada a Objetos (con Patrones de diseño y principios SOLID) 

Summary

Our fast, client-focused, dynamic environment wants your consulting management skills and desire to make a difference. Use Avanade’s tech, innovation and leadership to make a genuine human impact. Enjoy seeing an impact on clients, too, as you solve interesting challenges in a way that’s flexible to your approach to work—and life. Chart your own career path with us.

The Azure Cloud Architect supports cloud solution design, pre-sales activities, and hands-on delivery under senior architect guidance. This role requires strong Azure technical fundamentals, the ability to participate in client discussions, and active involvement in implementation projects. Together we do what matters.

Key responsibilities

Pre-Sales & Solution Architecture

• Support cloud architecture design for proposals and client requests.
• Assist in solution documentation, diagrams, cost estimates, and technical clarifications.
• Participate in technical presentations and client workshops.

Governance, Security & Operations

• Implement Azure governance controls (RBAC, Policy, tagging).
• Support monitoring, backup, and operational readiness.
• Ensure designs align with security and compliance requirements.

Documentation & Collaboration

• Produce architecture diagrams, HLD/LLD documents, and SOPs.
• Collaborate with infra, DevOps, application, and security teams.

Do you want to help shape the future of AI-powered work? At Avanade, you'll have the opportunity to design, build, and deploy cutting-edge Generative AI and Agentic AI solutions using the latest Microsoft technologies.

We are seeking an innovative and hands-on AI Engineer to join our Data & AI practice. In this role, you will work alongside clients and multidisciplinary teams to develop intelligent solutions that solve real business challenges using Large Language Models (LLMs), AI agents, automation, and Microsoft AI platforms.

The ideal candidate combines strong software engineering fundamentals with a passion for emerging AI technologies and a desire to continuously learn, experiment, and innovate.

You will join a vibrant community of AI specialists, architects, engineers, and consultants who are helping organisations transform how they work through AI.

About the Role

As an AI Engineer, you will design and develop AI-powered applications, copilots, and agentic solutions across the Microsoft ecosystem. You will work closely with clients to understand business challenges, identify opportunities for AI adoption, and translate requirements into secure, scalable, and production-ready solutions.

The role combines hands-on engineering, solution design, rapid prototyping, client-facing consulting, and continuous innovation.
You will contribute across the full solution lifecycle—from discovery and proof of concept through to deployment, evaluation, and optimisation.

Key Responsibilities:

In this role, you will:

•    Design, develop, and deploy AI-powered applications and agentic solutions using Microsoft AI technologies.

•    Build intelligent agents, copilots, and workflow automation solutions using Microsoft Copilot Studio, Microsoft 365 Copilot, Azure AI Foundry, and related services.

•    Develop APIs, integrations, and backend services using Python and modern application frameworks.

•    Create proof of concepts and prototypes to demonstrate emerging AI capabilities and business value.

•    Implement prompt engineering, orchestration, grounding, and retrieval techniques to improve AI performance and reliability.

•    Build and optimise Retrieval-Augmented Generation (RAG) solutions and knowledge retrieval experiences.

•    Contribute to AI solution architecture, technical design, development, testing, deployment, and documentation.

•    Participate in client workshops, discovery sessions, demonstrations, and technical discussions with both business and technical stakeholders.

•    Apply Responsible AI principles, governance controls, and evaluation frameworks throughout the AI development lifecycle.

•    Collaborate with architects, engineers, consultants, analysts, and client teams within agile delivery environments.

•    Stay current with emerging AI technologies, tools, frameworks, and industry trends, sharing knowledge across the wider practice.