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Avanade

Digital transformation, cloud, and IT consulting.

AI Application Architect

AI Application EngineeringUpdated on Nov 12
Full-timeParis, FranceNo salary listed

About the Job

Requirements

  • 12+ years of experience designing and developing enterprise-scale applications.
  • A strong foundation in software engineering, including frontend, backend, APIs, data, and cloud architecture.
  • Expertise in Java or C# as a primary language, with hands-on experience in Python, Rust, and TypeScript or JavaScript.
  • Proven delivery experience applying agentic AI to modernize legacy systems or build new solutions.
  • Hands-on expertise with agentic AI frameworks such as AutoGen, Semantic Kernel, LangChain, or equivalent frameworks.
  • Ability to apply AI agents across delivery phases, including requirements, architecture, coding, testing, documentation, and deployment.
  • Experience with large language models, prompt engineering, retrieval-augmented generation (RAG), vector databases, and orchestration patterns.
  • Experience integrating AI into distributed systems, microservices, APIs, and event-driven architectures.
  • DevOps and MLOps experience, including continuous integration and continuous delivery (CI/CD), infrastructure as code (IaC), automated testing, observability, and deployment automation.
  • Familiarity with data engineering, machine learning models, Responsible AI, and enterprise governance.
  • Ability to communicate complex AI concepts to technical and executive audiences.
  • Hands-on experience applying agentic patterns in real delivery work.
  • Comfort working across software engineering, AI, cloud, and automation.

Responsibilities

  • Architect AI-powered applications using autonomous and semi-autonomous agentic frameworks.
  • Apply AI agents across delivery phases, including analysis, design, build, test, deployment, and operations.
  • Modernize legacy applications using agentic AI for discovery, transformation, and refactoring.
  • Define end-to-end architectures integrating traditional software, large language models, vector stores, and orchestration.
  • Drive AI adoption within Avanade regions and enable AI-driven solution roadmaps.
  • Contribute to solution planning and design across multidisciplinary and multicloud environments.
  • Develop accelerators, reference architectures, and reusable assets for agentic AI patterns.
  • Guide engineering, data, and DevOps teams on AI automation and pipeline integration.
  • Travel occasionally for high-value client engagements.
  • Mentor teams and raise overall AI engineering maturity.
  • Continuously explore emerging AI frameworks, tools, and architectural approaches.

Desired Qualifications

  • Strong Azure expertise, with hands-on exposure to AWS and GCP.
  • Cloud, AI engineering, or architecture certifications.

About the Company

Avanade

Digital transformation, cloud, and IT consulting.

Avanade helps large organizations move to digital operations using Microsoft-based solutions. It combines consulting, implementation, and managed services to deliver digital transformation, cloud migration, and optimized business processes. Its offerings are built around the Microsoft ecosystem, with partnerships with Microsoft and Accenture enabling tailored, enterprise-grade deployments. Avanade differentiates itself by aligning technology delivery with business outcomes for enterprise and public sector clients, focusing on long-term service contracts and customized design-led experiences. The company's goal is to drive efficiency, improve customer experiences, and support sustainable growth for clients through technology-enabled transformation.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Seattle, WA
Founded
2000

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