AI Application Architect

Avanade
Issy-les-Moulineaux, France
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Applications Architecture Software Applications Automation of Tests Microsoft Azure C Sharp (Programming Language) Cloud Computing Continuous Integration
+27 more
Information Engineering Decision Support Systems DevOps Distributed Systems Python (Programming Language) Machine Learning Microsoft Software Software Engineering Systems Integration TypeScript Rust (Programming Language) Google Cloud Enterprise Software Applications Spring Cloud Large Language Models Multi-Agent Systems Prompt Engineering Multi-Cloud Backend Event Driven Architecture Deployment Automation Data Management Machine Learning Operations Front End Software Development Virtual Agents Legacy Systems Microservices

Job description

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., Opportunity to work for Microsoft’s Global Alliance Partner of the Year (14 years running), with exceptional training (minimum 80 hours annually) and paid certifications. Access global technical communities, a dedicated career advisor, and supportive colleagues who care about your success. Discover more benefits on our website.

A great place to work

As you bring your skills to Avanade, you’ll experience limitless growth, continuous learning, and a deeply inclusive culture. You’ll join a global community of experts committed to innovation, collaboration, and making a meaningful impact for clients and society.

More about the ICOE

Avanade Global Integrated Center of Excellence (ICOE) all existing Centers of Excellence to deliver excellence at scale and strengthen client impact. Its first mission focuses on driving client impact by improving win rates through competitive positioning and presales solutioning, supporting major deals, and ensuring a smooth transition from sales to delivery. ICOE experts also help jump-start strategic projects and provide consistent SME-based shared services across regions to elevate delivery quality.

The second mission aims at advancing Avanade’s Solution Areas and engineering assets by incubating new capabilities, fostering innovation, and developing high-value assets. The ICOE collaborates closely with Markets, Sales & Client Solutions, and Global Practices to ensure alignment, avoid duplication, and drive maximum ROI through governance and data-driven decision making. It also reinforces Avanade’s technical leadership by contributing to thought leadership, leading conferences, and co-innovating with Microsoft and Accenture.

The third mission focuses on supporting practice and people development across Avanade. ICOE practitioners act as multipliers by training others, developing skills needed to maintain leadership in Microsoft technologies, and supporting knowledge-sharing mechanisms globally. They collaborate with Microsoft and Accenture to stay ahead of technology trends and contribute to employee engagement, skill planning, and the growth of technical communities, ensuring strong organizational capability.

Requirements

Skills and experiences

  • Bringing over 12 years of expertise in designing and developing enterprise applications, a robust foundation in software engineering is evident. This professional background encompasses thorough architectural oversight-including frontend and backend development, API integration, data management, and cloud infrastructure.

  • Strong expertise in Java or C# as a primary language, with hands - on experience across multiple additional languages such as Python, Rust, and TypeScript/JavaScript.
  • Proven track record applying agentic AI to real projects-either modernizing legacy systems or building new solutions.

  • Hands-on expertise with agentic AI frameworks (e.g., AutoGen, Semantic Kernel, LangChain, or equivalents).

  • Ability to apply AI agents across all project phases: requirements, architecture, coding, testing, documentation, deploy.

  • Experience with LLMs, prompt engineering, RAG, vector databases, and AI orchestration patterns.

  • Strong understanding of Azure (preferred), plus hands-on exposure to AWS and GCP.

  • Experience integrating AI into distributed systems, microservices, APIs, and event-driven architectures.

  • DevOps and MLOps expertise including CI/CD, IaC, automated testing, observability, and deployment automation.

  • Familiarity with data engineering, ML models, Responsible AI, and enterprise governance.

  • Ability to simplify complex AI concepts and communicate effectively with engineers and executives.

  • Cloud, AI engineering, or architecture certifications are a plus.

About you

  • You are passionate about AI and have hands-on experience applying agentic patterns in real delivery work.

  • You thrive at the intersection of software engineering, AI, cloud, and automation.

  • You communicate clearly across technical and non-technical audiences.

  • You enjoy mentoring teams and raising AI engineering maturity.

  • You continuously explore emerging AI frameworks, tools, and architectural approaches.

Apply for this position

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