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AI Application Architecture Manager
Avanade
London, GBR
Full-time
Manager · 6–8 years experience
Onsite
Discovered 1 weeks ago
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Key Skills for This Role
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Full Job Posting
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.
Skills and Experience
- 6-8 years of experience designing and developing enterprise-scale applications.
- Strong foundation in software engineering including frontend, backend, APIs, data, and cloud architecture.
- Expertise in C# or Java as a primary language; experience with Python and TypeScript/JavaScript an advantage
- Proven delivery experience applying agentic AI to modernise legacy systems or building new custom solutions.
- Hands-on expertise with agentic AI frameworks such as Microsoft Agent Framework, 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, open models and orchestration patterns.
- Strong Azure expertise preferred
- Extensive experience of agentic engineering with GitHub Copilot and/or Claude Enterprise preferred.
- Experience with integrating AI into distributed systems, microservices, APIs, and event-driven architectures.
- DevOps experience including CI/CD, IaC, automated testing, observability, and deployment automation.
- Familiarity with Responsible AI, and enterprise governance.
- Cloud, AI engineering, or architecture certifications are a plus.
- About You
- Passionate about driving transformation with AI with hands-on experience helping clients to transform their legacy applications.
- Comfortable leading business transformation, software engineering, AI, cloud, and automation
- Clear communicator across senior technical and non-technical stakeholders.
- Ability to drive sales and lead client conversations about AI Apps transformation
- Enjoy mentoring teams and raising overall AI engineering maturity.
- Continuously explore emerging AI frameworks, tools, and architectural approaches.
Qualifications
- 6-8 years of experience designing and developing enterprise-scale applications.
- Strong foundation in software engineering including frontend, backend, APIs, data, and cloud architecture.
- Expertise in C# or Java as a primary language; experience with Python and TypeScript/JavaScript an advantage
- Proven delivery experience applying agentic AI to modernise legacy systems or building new custom solutions.
- Hands-on expertise with agentic AI frameworks such as Microsoft Agent Framework, 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, open models and orchestration patterns.
- Experience with integrating AI into distributed systems, microservices, APIs, and event-driven architectures.
- DevOps experience including CI/CD, IaC, automated testing, observability, and deployment automation.
- Familiarity with Responsible AI, and enterprise governance.
- About You
- Passionate about driving transformation with AI with hands-on experience helping clients to transform their legacy applications.
- Comfortable leading business transformation, software engineering, AI, cloud, and automation
- Clear communicator across senior technical and non-technical stakeholders.
- Ability to drive sales and lead client conversations about AI Apps transformation
- Enjoy mentoring teams and raising overall AI engineering maturity.
- Continuously explore emerging AI frameworks, tools, and architectural approaches.
- .
Preferred Qualifications
- Strong Azure expertise preferred
- Extensive experience of agentic engineering with GitHub Copilot and/or Claude Enterprise preferred.
- Cloud, AI engineering, or architecture certifications are a plus.
About Avanade
IT Services50000 employeesFounded 2000
Provides Microsoft-focused IT consulting and digital transformation services.
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