Solution Architecture & AI Engineering Platforms -Senior Manager

Job Description 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 Qualification Skills and Experience * 1 0 + 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 moderni s e legacy systems or build ing 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.