Data AI Solution Architect

EPAM Systems, Inc.; Portugal; Teletrabalho; EUR 90 000 - 140 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive compensation

Flexible work hours

Internal events and communities

Resumo da oferta

Bureau Veritas is seeking an AI Solution Architect to lead the AI-native transformation across European teams. You will define AI solution architectures, set up AI-enhanced development and testing environments, and implement agent-based workflows to advance AI maturity in software projects.

The role is hands-on with generative AI, DevOps, and enterprise Agile settings, offering impactful, cross-project impact while enabling teams through training and governance.

Qualificações

• Proven experience designing generative AI solution architectures (≤140 chars).
• Hands-on with AI-assisted development frameworks and agent-based automation.
• Strong knowledge of Agile and DevOps for continuous delivery pipelines.
• Ability to train cross-functional engineering teams on AI-native workflows.

Responsabilidades

• Define architecture for AI solutions tailored to diverse software stacks.
• Configure AI development environments including GitHub Copilot and LLM tools under source control.
• Implement AI-native workflows with version-controlled agent configurations and reusable workflows.
• Provide technical training sessions on AI adoption in SDLC for development and QA teams.
• Deploy and validate the first agent-based workflows within a Scrum-based production environment.
• Document AI use cases, workflows and best practices for cross-project reuse.
• Collaborate on AI maturity foundations and governance aligned with enterprise goals.

Conhecimentos

Generative AI

AI-assisted development

LangChain/LangGraph

Agile methodologies

DevOps for CD

Training cross-functional teams

Ferramentas

GitHub Copilot

LLM tools

Source control

Descrição da oferta de emprego

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.ResponsibilitiesDefine architecture for AI solutions tailored to diverse software technology stacksConfigure AI development and testing environments including GitHub Copilot, AI coding assistants, and LLM tools under source controlImplement AI-native workflows and maintain version-controlled agent configurations, context files, and reusable workflowsProvide technical training sessions for development and QA teams on AI adoption in SDLCDeploy and validate the first agent-based workflows within a Scrum-based real production environmentDocument AI use cases, workflows, and best practices for cross-project reuseCollaborate on creating technical recommendations to enable Level 2 and Level 3 AI maturity foundationsWork with program leads to refine AI adoption strategy aligned with enterprise goals and governanceRequirementsProven experience designing and implementing generative AI solution architecturesHands-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 practicesStrong understanding of Agile methodologies and DevOps practices for continuous delivery pipelinesAbility to train cross-functional engineering teams on AI-native workflows and usage standardsExcellent communication and analytical problem-solving skills in complex technical environmentsNice to haveExperience with large-scale AI transformation programs or AI maturity frameworksKnowledge of enterprise security and compliance for AI tool adoptionBackground in setting up observability, governance, and evaluation standards for AI workflowsFamiliarity with co-pilot tools benchmarking, and AI-assisted testing strategiesWe offerCompetitive compensation depending on experience and skillsVariety of projects within one companyBeing a part of a project following engineering excellence standardsIndividual career path and professional growth opportunitiesInternal events and communitiesFlexible work hours