2 months ago
Porto, PortugalMid Level
Responsibilities
- Maintain architectural consistency, portability, standards, and best practices for AI solutions.
- Establish scalable, reliable, secure, and trusted data and technology foundations with data, IT, and business stakeholders.
- Advise on AI application architecture, including build-versus-buy decisions, models, vector stores, and orchestration frameworks.
- Embed security, privacy, and responsible-AI requirements including GDPR and the EU AI Act into reference architectures.
- Draft technical specifications, track development, and oversee acceptance testing for quality and performance.
- Coordinate the integration, management, and scaling of AI systems across data, IT, and business teams.
- Define production monitoring, cost control, reliability, model updates, and dependency management standards.
- Participate in or lead technical governance forums, document architectural decisions, and mitigate technical risks.
Requirements
- At least 3 years of professional experience in software engineering, data/ML engineering, cloud engineering, or IT architecture.
- Hands-on experience designing cloud-based systems that run in production.
- Experience building or contributing to LLM-based solutions involving RAG, agents, or orchestration frameworks.
- Understanding of model serving, data pipelines, and vector databases, plus experience using AI-assisted development tools such as Claude Code, GitHub Copilot, or Cursor.
- Experience contributing to architectural standards and reference architectures and reviewing or challenging technical decisions.
- Experience with at least one major cloud provider: Azure, AWS, or GCP.
- Experience with infrastructure as code and containerization, with solid software development and code-review skills; Python is preferred.
- Fluent English communication skills and ability to explain technical constraints and risks to business and project stakeholders.
- Preferred experience includes Azure, Databricks, DevOps or platform engineering, Terraform or Bicep, Kubernetes, Azure DevOps, GitHub Actions, data architecture, LLMOps, AI governance, and international, consulting, or scale-up environments.
Benefits
- Opportunity to design and build the technical backbone for a large-scale enterprise AI transformation.
- Regular collaboration with senior technical and business stakeholders across an international organization.
- Exposure to a broad range of AI tools, platforms, and frameworks.
- Collaborative, diverse team environment with peer learning and knowledge sharing.
- Location: Porto.
Tech Stack
Categories
AI ApplicationsData Engineering
About Metyis AG
Metyis AG is a privately held consulting firm that delivers AI and data analytics, digital commerce, marketing/design, and advisory services to enterprises. It partners with B2B and B2C clients to build data platforms, e‑commerce capabilities, and operating models, typically through long-term engagements. Founded in 2013 and headquartered in Baar, Zug, the company operates from 14 offices across Europe, India, and the Middle East.