AI Application Architecture Manager

Introduction

Join Avanade UK’s Software Engineering Practice as a hands-on AI Application Architect, helping design intelligent, agentic, cloud-native application designs. 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 legacy portfolios.

This role operates across solution architecture, Agentic platform innovation, and commercial deal shaping, with a focus on building and scaling agentic engineering capabilities across the Software Development Lifecycle (SDLC).

Role Overview

As part of a growing Software Engineering Practice, you will focus on modern application architecture while pioneering the use of agentic AI in real delivery scenarios.

You will collaborate closely with other Practices on direct deals, leading during solutioning phases as well as during critical delivery phases. Whether modernising legacy systems or building greenfield 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 our client base.

What you’ll do

• Lead C-Level application modernisation strategy discussions, workshops and executive briefings.
• Act as a trusted advisor to senior stakeholders, influencing decisions and driving digital transformation initiatives.
• Design and Lead Proof of Value work for application transformation clients.
• Provide SME capabilities on application remediation, technologies and transformation, both infrastructure and software as well as application integration.
• Validate Solution approach for modernisation projects, own deliverability of the technical and functional solution, ensuring correctness and achieve sign off.
• Collaborate with delivery, sales, and partner teams to shape proposals and ensure successful execution.
• Provide technical leadership to delivery teams and mentor solution architects.
• Lead assessments and transformation of legacy environments defining modernisation strategies (refactor, replatform, replace, etc).
• Establish modernisation frameworks and enforce architectural standards across programs

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

• Drive AI adoption cross-practice and cross-region, enabling AI-driven solution roadmaps.

• 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.