Senior Solution Architect/ Solution Architect: Java with Microservices, AI and Cloud

Responsibilities

• Guide multiple engineering teams through a time-boxed AI adoption cycle to integrate AI into core development activities while meeting defined maturity outcomes
• Support developers in applying AI tools to real engineering work such as code generation, refactoring, debugging, documentation, test creation, and code comprehension, with a focus on quality and reliability
• Help teams redesign SDLC workflows to incorporate AI safely and effectively, reinforcing good engineering practices rather than replacing them
• Run coaching sessions, technical clinics, and office hours to unblock teams, answer questions, and increase confidence in AI-assisted development
• Promote repeatable patterns, playbooks, and shared practices so AI usage remains consistent across teams and not dependent on individual champions
• Track adoption progress and contribute to visibility on engagement, usage, and delivery improvements, adjusting coaching approaches as needed
• Partner closely with trainers, program leads, and escalation teams to ensure aligned execution and rapid intervention where teams fall behind
• Act as a coach and change agent, partnering with developers, tech leads, and architects to embed AI into how software is designed, built, tested, and maintained

Languages