AI Application Architect in London

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.

Role Overview

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.
• Modernise 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 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 AI automation and pipeline integration.
• Travel occasionally for high‑value client engagements.

Qualifications

• 12+ years of experience designing and developing enterprise‑scale applications.
• Strong foundation in software engineering including frontend, backend, APIs, data, and cloud architecture.
• 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 equivalents.
• Ability to apply AI agents across all phases of delivery: requirements, architecture, coding, testing, documentation, and deployment.
• Experience with LLMs, prompt engineering, RAG, vector databases, and orchestration patterns.
• Strong Azure expertise preferred, with hands‑on exposure to AWS and GCP.
• Experience integrating AI into distributed systems, microservices, APIs, and event‑driven architectures.
• DevOps and MLOps experience including CI/CD, IaC, automated testing, observability, and deployment automation.
• Familiarity with data engineering, ML models, Responsible AI, and enterprise governance.
• Ability to communicate complex AI concepts to both technical and executive audiences.
• Cloud, AI engineering, or architecture certifications are a plus.

About You

• Passionate about AI with hands‑on experience applying agentic patterns in real delivery work.
• Comfortable working at the intersection of software engineering, AI, cloud, and automation.
• Clear communicator across technical and non‑technical stakeholders.
• Enjoy mentoring teams and raising overall AI engineering maturity.
• Continuously explore emerging AI frameworks, tools, and architectural approaches.

Enjoy Your Career

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. You will have access to global technical communities, a dedicated career advisor, and supportive colleagues who care about your success. Discover more benefits on Avanade’s website.

Additional Information

Equal Employment Opportunity Statement: All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Avanade is committed to providing veteran employment opportunities to our service men and women. Please read Avanade's Hiring and Privacy Statement for more information on how we process your data during the Recruiting and Hiring process.

Main Responsibilities

• You’ll participate in both presales and delivery activities. We strongly encourage acquiring experience on the job and use this experience in new proposals.
• Participate in a cross technical team, with different Avanade Spain areas proposing innovative solutions providing your knowledge and expertise to solve cross‑technology problems.
• Apply your expertise in design, propose and defend scalable, high reliable cloud‑ready solutions based on Azure value and meeting our customer needs.
• Apply your expertise in technical and consulting knowledge to advise clients on fit‑for‑purpose architectures, ensure nonfunctional requirements as well as evolving business needs.
• Work in projects that utilize Microsoft and latest front‑end technologies in distributed, highly scalable, robust and responsive architectures.
• Architect and deploy Azure solutions across the Azure platform using DevSecOps practices with Azure Pipelines or GitHub Actions.
• Deliver using Agile frameworks, paying special attention to code quality, delivery commitments and team leadership.

Role Requirements

• English oral and written communication.
• Strong technical writing, presentation and training skills.

Technical Requirements

• Microsoft Intune: Deep hands‑on experience with device compliance, application deployment, software updates, endpoint protection, and policy management.
• Device enrolment, corporate and personal BYOD device scenarios, automated provisioning for Windows, iOS, Android, including zero‑touch enrolments for iOS and Android platforms, web‑based device enrollment for iOS.
• Device configuration including creating custom configuration profiles.
• Shared and Kiosk device scenarios, Windows and mobile device platforms.
• Certificate deployments, PKCS and SCEP. Deploying VPN, email and Wi‑Fi profile.
• Device Compliance, including custom compliance and integration with Defender for Endpoint for device risk, ConfigMgr compliance. Compliance with Conditional Access.
• Assignment filters for managed apps and devices.
• Applications, store apps, M365 apps, Edge, LoB and Win32.
• Integration with Apple Business Manager and Google Play store.
• Intune Diagnostics.
• Using KQL to create custom reports from Log Analytics data.
• Connectors and tokens.
• Configuration Manager.
• Managed Google Play.
• Firmware over‑the‑air update.
• MDT connectors – (Windows Security and awareness of third‑party capabilities).
• Certificate connectors.
• Active Directory.
• eSIM configuration, awareness of platform‑specific limitations.
• Autopilot & Provisioning: Expertise in configuring and validating Windows Autopilot profiles, OEM provisioning, and troubleshooting deployment issues.
• Experience with all Autopilot deployment scenarios, user‑driven, pre‑provisioning, self‑deploying, Autopilot Reset and Autopilot for existing devices.
• Enrolment Status Page – configuration and experience troubleshooting.