Data AI Solution Architect

We're looking for an AI Solution Architect / AI Champion to join our team in Portugal in a fully remote working mode. In this role, you will support Bureau Veritas’ European Regional Team in its strategic transformation toward an AI-native development model (AI SDLC). You will define AI solution architectures, configure AI-assisted development and testing environments, and implement agent-based workflows that enable progressive maturity adoption across software development cycles. This is a hands-on, high-impact role requiring expertise in generative AI architectures, development workflow integration, and developer enablement in enterprise Agile environments. Responsibilities Define architecture for AI solutions tailored to diverse software technology stacks Configure AI development and testing environments including GitHub Copilot, AI coding assistants, and LLM tools under source control Implement AI-native workflows and maintain version-controlled agent configurations, context files, and reusable workflows Provide technical training sessions for development and QA teams on AI adoption in SDLC Deploy and validate the first agent-based workflows within a Scrum-based real production environment Document AI use cases, workflows, and best practices for cross-project reuse Collaborate on creating technical recommendations to enable Level 2 and Level 3 AI maturity foundations Work with program leads to refine AI adoption strategy aligned with enterprise goals and governance Requirements Proven experience designing and implementing generative AI solution architectures Hands-on expertise with AI-assisted development frameworks and agent-based automation (LangChain, LangGraph, or similar) Familiarity with configuring AI development aids (e.g., GitHub Copilot, LLM-enhanced IDE plugins) under source control practices Strong understanding of Agile methodologies and DevOps practices for continuous delivery pipelines Ability to train cross-functional engineering teams on AI-native workflows and usage standards Excellent communication and analytical problem-solving skills in complex technical environments Nice to have Experience with large-scale AI transformation programs or AI maturity frameworks Knowledge of enterprise security and compliance for AI tool adoption Background in setting up observability, governance, and evaluation standards for AI workflows Familiarity with co-pilot tools benchmarking, and AI-assisted testing strategies