Senior Solution Architect

• Own and drive end-to-end solution design from discovery through implementation, deployment, and production readiness
• Translate business needs into technical scope, architecture decisions, delivery plans, and measurable outcomes
• Design cohesive solutions across applications, integrations, cloud services, data, automation, and AI/agentic capabilities
• Provide senior technical leadership across the delivery lifecycle, guiding teams through architecture decisions, trade-offs, and complex problem-solving
• Contribute hands-on to critical design and development activities, especially in high-risk or business-critical areas
• Ensure solutions are secure, scalable, reliable, observable, cost-efficient, and maintainable
• Promote strong engineering practices across secure design, testing, CI/CD, monitoring, code quality, documentation, and reusable patterns
• Identify risks, dependencies, and constraints early, balancing business value, speed, quality, and long-term sustainability
• Drive responsible use of AI in both delivered solutions and engineering ways of working, including AI-assisted development and agentic workflows
• Mentor engineers and technical leads through design reviews, implementation guidance, and practical technical leadership

• Bachelor's degree in Computer Science or a related field, or equivalent practical experience
• 8+ years of experience in software engineering, solution delivery, or architecture roles
• Strong experience designing and delivering end-to-end solutions in production environments
• Strong experience with cloud platforms, preferably Azure, modern application development in .NET, APIs, integration patterns, and data-centric solution design
• Experience designing solutions that incorporate AI capabilities, or strong understanding of how AI services and AI-assisted engineering practices can be applied responsibly in enterprise environments
• Strong practical understanding of solution architecture, system design, and engineering trade-offs in real delivery environments
• Broad technical knowledge across Azure, .NET, integrations, APIs, data, automation, and modern software delivery practices
• Ability to work effectively across architecture, engineering, cloud, data, and AI rather than as a narrow specialist
• Strong ownership, autonomy, communication skills, and ability to operate effectively in complex and evolving environments

Relevant certifications in Azure, cloud architecture, security, Agile, or DevOps are an advantage

Benefits package