About the Company
You’ll be joining a global technology powerhouse with a strong footprint in digital transformation, automation, and intelligent infrastructure. The company is known for its commitment to innovation, sustainability, and shaping the future through cutting-edge solutions in AI, cloud, and industrial technologies. With a collaborative culture and a focus on continuous learning, it offers a dynamic environment for professionals passionate about solving complex challenges at scale.
Your New Role
- Design and implement AI-centric cloud architectures using platforms like AWS and Azure, aligned with industry best practices and internal standards.
- Provide architectural expertise across a broad tech stack (Frontend, Backend, Integration, AI/ML) to support new use case development.
- Act as a bridge between technical teams and business stakeholders, translating complex requirements into actionable architecture and implementation plans.
- Collaborate with cross-functional teams to define end-to-end solution architecture for machine learning (ML), generative AI, and data pipelines.
- Champion scalability, performance, and security across all AI/cloud solutions, embedding compliance with data privacy, governance, and ethical AI principles.
- Adapt to the evolving nature of the role, whether diving deep into architecture or stepping up to shape vision and priorities.
- Lead or support the evaluation of emerging technologies, providing architectural guidance and strategic input to domain architects and product teams.
What You Need to Succeed
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Advanced Analytics, or a related field.
- 5+ years of experience in AI/ML and cloud solution architecture, with a strong track record in designing and deploying AI pipelines and multi-step agent architectures.
- Deep hands-on expertise with cloud platforms (AWS, Azure, GCP), including AI/ML services (e.g., SageMaker, Azure ML), and experience with serverless deployment models.
- Solid understanding of the AI/ML lifecycle—from data ingestion and model training to deployment, monitoring, and integration into production environments.
- Familiarity with DevOps, MLOps, and CI/CD practices tailored for AI, including automation and operationalization of ML workflows.
- Experience deploying LLMs (Large Language Models), AI copilots, or chatbots in real-world applications.
- Certifications in AWS, Azure, or GCP (Architect or ML Specialist) are a strong plus.
- Strong communication skills with the ability to explain complex technical concepts clearly to both technical and non-technical stakeholders.
- Excellent English skills, both written and spoken.
What the Company Offers You
- A hybrid and flexible working model to promote a better work-life balance,
- Budget for home office support
- Opportunity to dedicate 16 hours per year to volunteer work.
- Health insurance, access to an on-site medical center, and the chance to join sports groups.
- Access to online learning platforms
- Discounts with selected partners.
- Annual Bonus
- Pension Fund
Next Step
If you’re interested in this opportunity, please send us your updated CV. If you're exploring other career paths, feel free to reach out for a confidential conversation about alternative opportunities.