
We are hiring a Senior Manager in Solution Architecture to lead the design, commercialization, and delivery of enterprise-scale cloud and AI engineering platforms. This roleoperatesacross solution architecture, AI platform innovation, and commercial deal shaping, with a focus on building and scaling agentic engineering capabilities across the Software Development Lifecycle (SDLC).
You willwork toaccelerate every phase of the delivery lifecycle - from analysis and design to build, test, deploy, andoperate– and drivetransformation across complex enterpriselegacyportfolios in the Microsoft Enterprise channel.
WhatYou’llDo
Lead Enterprise Solution Architecture
- Own end-to-end architecture for complex cloud and digital transformation programmes (Azure-centric but not exclusively)
- Define scalable design patterns across application,DevSecOps, and platform engineering with GitHub, Azure DevOps andopen sourcetechnologies
- Ensure architectural integrity, governance, and engineering excellence
Drive AI & Agentic Engineering Innovation
- Lead the design and evolution of AI-driven engineering platforms embedding automation across the SDLC
- Define and operationalize multi-agent architectures across design, development, testing, and operations
- Translate frontier AI technologies into reusable engineering capabilities and offerings
Shape Deals & Commercial Outcomes
- Lead solutioning for strategic deals, including architecture, estimation, and cost models
- Develop value propositions linked to ROI, productivity, and cost reduction
- Support contract shaping whilemaintainingsolution integrity
- Own and evolve the local go-to-market offerings for Agentic Engineering
Enable Delivery at Scale
- Provide architectural oversight through delivery
-Establishengineering best practices across DevOps and automation
- Lead and mentor distributed engineering teams
Act as a Trusted Advisor
- Engage senior stakeholders on cloud strategy, AI adoption, and engineering operating models
- Lead client workshops and executive briefings
Skills and Experience
10+ years of experience designing and developing enterprise-scale applications.
You will have a strong track-recordin successfully solutioning(and delivering)enterpriseapplications and infrastructure projects
Strong foundationin software engineering including frontend, backend, APIs, data, and cloud architecture.
ExpertiseinC#or Javaas a primary language; experience with Python and TypeScript/JavaScriptan advantage
Proven delivery experience applying agentic AI to modernise legacy systems or buildingnewcustomsolutions.
Hands-onexpertisewith agentic AI frameworks such asMicrosoft 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,openmodelsand orchestration patterns.
Strong Azureexpertisepreferred
Extensive experience of agentic engineering with GitHub Copilot and/or Claude Enterprise preferred.
Experience withintegrating AI into distributed systems, microservices, APIs, and event-driven architectures.
DevOps experienceincludingCI/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 aboutdriving transformation withAI with hands-on experiencehelping clients to transform their legacy applications.
Comfortableleadingbusiness transformation,software engineering, AI, cloud, and automationdeals and programmes/projects.
Clearcommunicatoracrossseniortechnical 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.

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