Data AI Solution Architect

Job description

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