IT & Software

Lead Software Architect

NICE Systems

Southampton · Hampshire · United Kingdom

Overview

As Lead Software Architect at NiCE, you will own and shape the architecture for an AI-native, cloud-based platform central to our AI-led delivery transformation. You collaborate across product, security, and engineering to ensure scalable, secure, and maintainable designs while integrating cutting-edge AI tooling. You will mentor the team, steer technical decisions, and validate AI outputs in a high-trust, multi-server environment. This role offers a chance to influence how AI is applied in a public-safety domain and to drive impactful, modern software delivery.

Pay / Benefits
  • NICE-FLEX hybrid model (2 days in office, 3 days remote)
  • global growth and internal career opportunities
  • collaborative, fast-paced, innovative work environment
Responsibilities
  • Own architecture and lead AI-led design, implementation, and validation in cloud environments
  • Steer architectural direction through collaborative, team-based decisions
  • Ensure security, scalability, compatibility, maintainability, and responsible AI use in build and run-time
  • Test, fix defects, and support customer issues related to architecture
  • Enforce architectural standards and guide team on delivery practices
  • Mentor engineers in architecture, AI-led delivery, and AI output validation
  • Collaborate with Product Management during planning sessions
Key requirements
  • C# development with Visual Studio/VS Code
  • Proven ability to translate market needs into secure, scalable system designs
  • Experience with multi-tenant cloud solutions
  • Team-based, collaborative experience
  • Code maintenance and source control (DevOps, Git)
  • Unit testing, code reviews, and quality discipline
  • Understanding of network security, authentication, authorization
  • Database experience with Entity Framework or similar
  • Knowledge of SOLID principles
  • RESTful API design and extensibility
  • Recent practical experience with AI tooling (Copilot, Claude Code, Codex or equivalent)
  • Ability to describe outcomes and decisions clearly
  • Accountability for architectural outputs
  • Comfort with probabilistic systems and judicious AI use in high-trust domains
  • Learning velocity to ramp on new AI tools quickly
  • Effective communication across email, chat, phone, and video
  • Strong problem-solving focus and product quality mindset
  • Curiosity about new tools and technologies
  • AI tooling in daily work (Copilot, Claude Code, Codex)
  • Cloud-based, multi-server architectures
  • Security, authentication, and authorization fundamentals

Reference: WJ-747_31052259

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