5 дней назад
Lead Software Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Software Architect (AI): Owning the architecture, design, AI-led implementation, and validation of a cloud-based digital evidence platform with an accent on multi-threaded systems, scalability, security, and responsible AI use. Focus on making architectural decisions, validating AI-generated outputs, designing resilient multi-tenant solutions, and mentoring engineers in AI-led delivery practices.
Location: Southampton, United Kingdom; hybrid schedule with 2 days in the office and 3 days working remotely each week
Company
Develops AI, cloud, and digital software used by global businesses for customer experience, financial crime prevention, and public safety.
What you will do
- Own the architecture, design, AI-led implementation, and validation of a cloud-based digital evidence platform.
- Lead technical decisions for multi-threaded, multi-server, and multi-tenant environments.
- Ensure security, scalability, compatibility, maintainability, and responsible AI usage across build-time and run-time systems.
- Test implementations, fix defects, and help resolve customer support cases.
- Maintain architectural standards and mentor team members in architecture practices and AI-led delivery.
- Collaborate with Product Management during planning and delivery.
Requirements
- Solid experience developing applications in C# using Visual Studio or Visual Studio Code.
- Experience designing secure, scalable, and resilient systems from complex market requirements, including multi-tenant cloud solutions.
- Strong knowledge of network security, authentication, authorization, SOLID principles, RESTful APIs, databases, and Entity Framework or similar technologies.
- Experience with maintainable code, source control, unit testing, code reviews, and other quality practices.
- Recent daily practical experience with AI tooling such as Copilot, Claude Code, Codex, or equivalent, with accountability for validating the output.
- Ability to make clear decisions about responsible AI use in a high-trust public-safety platform and to learn new AI tools quickly.
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- OWASP Top Ten and other security best practices.
- Azure SQL Server, DevOps, pipelines, TeamCity, GitHub, or Windows services.
- Experience using AI tooling for architecture design reviews, ADR drafting, threat modeling, or contract design.
- Familiarity with AI-native patterns such as agentic workflows, evaluation harnesses, and prompt-and-response evaluation.
Culture & Benefits
- Hybrid -FLEX working model with structured office and remote days.
- Collaborative, multidisciplinary environment focused on product quality and innovation.
- Opportunities for learning, growth, and internal career development across roles and locations.
- Work within a global organization operating across more than 30 countries.
Hiring process
- The final interview stage includes a working session using AI tooling.
- The session evaluates how candidates set intent, validate outputs, and make accountable decisions.
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