Solution Architecture & AI Engineering Platforms -Senior Manager
Role Summary
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 role operates across 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 will work to accelerate every phase of the delivery lifecycle - from analysis and design to build, test, deploy, and operate – and drive transformation across complex enterprise legacy portfolios in the Microsoft Enterprise channel.
What You’ll Do
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 and open source technologies
- 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 while maintaining solution integrity
- Own and evolve the local go-to-market offerings for Agentic Engineering
Enable Delivery at Scale
- Provide architectural oversight through delivery
- Establish engineering 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
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Skills and Experience
10+ years of experience designing and developing enterprise-scale applications.
You will have a strong track-record in successfully solutioning (and delivering) enterprise applications and infrastructure projects
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 deals and programmes/projects.
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.
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