Design Lead / Senior Solution Architect
The Design Lead / Senior Solution Architect will define enterprise-grade technology roadmaps and lead the design of scalable, AI-driven solutions using .NET, cloud-native architectures, and modern AI integration frameworks. This role involves collaborating with cross-functional teams to drive technical strategy, mentor engineering staff, and ensure the delivery of secure, high-performance systems.
- Compensation
- Not disclosed
- Location
- Manchester, United Kingdom
- Work setup
- Hybrid
- Seniority
- Lead
- Employment
- Not specified
- Experience
- Not specified
- Category
- Architecture
- Posted
Skills
Must have
- Experience designing enterprise-scale solutions using .NET, .NET Core, C#, and modern application frameworks.
- Expertise in microservices architecture, event-driven systems, distributed computing, and API-led integration.
- Experience designing modern web platforms utilizing Angular.
- Expertise with SQL Server, MongoDB, and Cosmos DB.
- Experience leveraging AI-enabled engineering tools like GitHub Copilot or ChatGPT.
- Experience designing and integrating AI services into enterprise applications.
- Familiarity with prompt engineering, LLM integration, RAG architectures, and AI-powered automation.
- Extensive experience in software engineering, solution architecture, or technical design leadership.
Nice to have
- Experience with DevOps, CI/CD, Infrastructure as Code, and platform automation.
- Knowledge of enterprise security architecture, identity management, and compliance.
- Hands-on scripting experience using PowerShell, Python, or Bash.
- AWS Solutions Architect, TOGAF, or Azure Architect certifications.
Full description
As a Design Lead / Senior Solution Architect, you will shape end-to-end technology solutions that align with business objectives, enterprise architecture standards, and product strategy — providing architectural leadership across multiple initiatives, guiding engineering teams through complex design challenges, and driving innovation through modern cloud, AI, and distributed system architectures.
You will collaborate closely with product managers, business stakeholders, UX teams, engineering leaders, and development teams to ensure scalable, secure, and maintainable solutions, blending strategic thinking, technical leadership, and hands-on architecture expertise to power our AI-driven technology transformation.
Key Responsibilities
- Own end-to-end solution architecture for enterprise-grade applications and platforms.
- Define architecture blueprints, design standards, technology roadmaps, and implementation strategies.
- Lead architecture reviews and establish best practices for development teams.
- Create high-level and low-level solution designs addressing functional and non-functional requirements.
- Drive architectural decisions around scalability, resilience, security, observability, and performance.
- Ensure alignment of solutions with enterprise architecture guidelines and business objectives.
- Evaluate emerging technologies and recommend strategic adoption opportunities.
- Mentor and guide development teams on architecture patterns, design principles, and engineering practices.
- Lead technical discussions with engineering, product, operations, and business stakeholders.
- Support complex problem-solving initiatives and critical system design decisions.
- Facilitate architecture governance and design review forums.
- Partner with DevOps and Cloud Engineering teams to optimise deployment and operational models.
- Design cloud-native solutions leveraging AWS and equivalent cloud platforms.
- Architect microservices, event-driven systems, API ecosystems, and integration platforms.
- Define cloud security, networking, and disaster recovery strategies.
- Identify and implement opportunities for AI-powered solutions within business applications.
- Architect integrations with AI services such as Azure OpenAI, AWS Bedrock, Hugging Face, and similar platforms.
- Champion AI-assisted engineering practices, productivity tools, and intelligent automation.
- Guide teams on responsible adoption of generative AI capabilities and architecture patterns.
- Lead architecture discussions with senior business and technology stakeholders, translating requirements into scalable solutions.
- Present architecture strategies and technical recommendations to executive audiences.