Senior Solution Architect/ Solution Architect: Java

Job description

We are seeking a **Senior Solution Architect/Solution Architect** with expertise in Java, Microservices, AI, and Cloud to act as an AI Adoption Coach, driving developer productivity, code quality, and engineering efficiency through practical AI adoption. This hands-on enablement role partners with software engineering teams to embed AI-assisted practices into daily development workflows and achieve a defined Bronze-level AI maturity baseline, focusing on real delivery impact and sustainable behavior change. **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 **Requirements** - 5-20 years of experience in software engineering - Background in software engineering with experience in modern SDLC and Agile practices - Hands-on experience using AI-assisted development tools in real projects - Capability to coach and influence developers and technical leaders through workflow and behavior change - Excellent communication skills, with the ability to explain AI concepts in clear, practical terms - Comfort working across multiple teams and distributed environments **Nice to have** - Experience with hybrid or multi-cloud environments - Familiarity with FinOps, observability, and cloud governance - Background in supporting production workloads with high availability and disaster recovery considerations - Knowledge of Hybris e-commerce