AI Solution Architect designing comprehensive AI-driven solutions for Quento Technologies S.A. Leading technical designs and integrations with a focus on scalability and security in cloud environments.
Responsibilities
Design and architect comprehensive AI-driven solutions in the cloud or on-premises, ensuring alignment with business and technical requirements;
Design and implement scalable and secure cloud AI solutions using leading platforms and services;
Lead the technical design and integration of AI & data platforms, focusing on scalability, performance, and robust security practices;
Collaborate closely with business, development, and data teams to define the architecture of AI solutions (e.g., LLM-based Agents, Agentic AI, Foundation Models, RAG) and Machine Learning models (e.g., Deep Learning, NLP, and Computer Vision);
Facilitate technical discussions with stakeholders to ensure all business and technical requirements are understood and met;
Advise on best practices for deploying AI and data pipelines within cloud environments and on-premises;
Provide technical guidance and mentorship to developers and junior team members;
Create and maintain comprehensive technical documentation describing system architectures and infrastructure;
Ensuring that all activities and duties are carried out in full compliance with regulatory requirements and supporting the continued implementation of the Group Anti-Bribery and Corruption Policy.
Requirements
University degree in Computer Science, Engineering, or a related field;
6+ years of experience in solution architecture with a strong focus on AI and cloud technologies;
Demonstrated experience with AI project implementation in cloud environments, including Data Modeling, Machine Learning, and AI algorithms development;
Familiarity with cloud adoption and architectural frameworks across multiple providers;
Proven experience with managed big data, AI, ML, and orchestration services (e.g., managed ML platforms, container orchestration, event hubs/queues);
Strong knowledge of cloud architecture patterns and integration points using workflow and automation tools;
Familiarity with data governance, data security, and compliance in cloud environments;
Experience with architecture design tools and modelling notations;
Expertise in Infrastructure as Code (IaC) and related tools (e.g., Terraform, Ansible, ARM, CloudFormation, etc.);
Knowledge of GitOps principles;
In-depth understanding of secure application design, following established guidelines such as OWASP;
Full lifecycle experience with complex, large-scale, and multi-user applications;
Experience with Agile methodologies (e.g., Kanban, Scrum, and other lean techniques);
Ability to communicate complex technical concepts clearly with both technical and non-technical stakeholders;
Excellent written and verbal communication skills;
Experience and willingness to work in international and multicultural teams;
Excellent command of the English language (written and verbal);
**Additional Qualifications, Knowledge, and Skills**
Possession of at least one of the following certifications (or equivalent) is required:
Cloud Solutions Architect Expert (from any major provider: Microsoft, AWS, GCP);
Advanced Cloud Architecture Certifications;
Nice to have:
DevOps Engineer Expert certifications;
AI/ML Engineer Associate certifications.
Benefits
💸 Competitive compensation, ticket restaurant card, and annual bonus programs
💻 Cutting-edge IT equipment, mobile and data plan
🏢 Modern facilities, free coffee and beverages, indoor parking, and company bus
👨⚕ Private health insurance, onsite occupational doctor, and workplace counselor
🏝️ Flexible working model, hybrid benefits & home equipment benefits
🤸♂️ Onsite gym, wellness facilities, and ping pong room
💡 Career and talent development tools
🎓 Mentoring, coaching, personalized annual learning and development plan
🌱 Employee referral bonus, regular wellbeing, ESG and volunteering activities
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