Senior Solution Architect/ Solution Architect Java

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 outcomesSupport 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 reliabilityHelp teams redesign SDLC workflows to incorporate AI safely and effectively, reinforcing good engineering practices rather than replacing themRun coaching sessions, technical clinics, and office hours to unblock teams, answer questions, and increase confidence in AI-assisted developmentPromote repeatable patterns, playbooks, and shared practices so AI usage remains consistent across teams and not dependent on individual championsTrack adoption progress and contribute to visibility on engagement, usage, and delivery improvements, adjusting coaching approaches as neededPartner closely with trainers, program leads, and escalation teams to ensure aligned execution and rapid intervention where teams fall behindAct 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 engineeringBackground in software engineering with experience in modern SDLC and Agile practicesHands-on experience using AI-assisted development tools in real projectsCapability to coach and influence developers and technical leaders through workflow and behavior changeExcellent communication skills, with the ability to explain AI concepts in clear, practical termsComfort working across multiple teams and distributed environments Nice to have Experience with hybrid or multi-cloud environmentsFamiliarity with FinOps, observability, and cloud governanceBackground in supporting production workloads with high availability and disaster recovery considerationsKnowledge of Hybris e-commerce .