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Qualco Technology

AI Solution Architect

Qualco Technology

. Design and architect comprehensive AI-driven solutions in cloud or on-premises environments .

Posted 10/24/2026full-timeAthens • GreeceMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing AI-driven solutions in cloud environments, with a strong focus on scalability, security, and compliance. Proficient in providing technical guidance, mentoring teams, and ensuring adherence to best practices in AI and data architecture.

Highest-signal resume keywords
Solution ArchitectureAI Project ImplementationInfrastructure as Code (IaC)Cloud Architecture PatternsData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI Algorithms DevelopmentData ModelingMachine LearningCloud Adoption FrameworksWorkflow Automation ToolsArchitecture Design ToolsSecure Application DesignAgile MethodologiesGitOps PrinciplesTechnical Documentation
Soft Skills
Communication SkillsMentorshipCollaborationStakeholder EngagementMulticultural Teamwork
Tools & Technologies
TerraformAnsibleARMCloudFormationManaged Big Data ServicesAI/ML Orchestration ServicesLLM-based AgentsFoundation ModelsDeep LearningNLP
Certifications & Qualifications
Cloud Solutions Architect ExpertAdvanced Cloud Architecture CertificationsDevOps Engineer ExpertAI/ML Engineer Associate
Industry Keywords
AI-driven SolutionsCloud EnvironmentsData SecurityComplianceAnti-Bribery and Corruption Policy

Tech Stack

Tools & technologies
AnsibleAWSCloudGoogle Cloud PlatformTerraform

About the role

Key responsibilities & impact
  • Design and architect comprehensive AI-driven solutions in cloud or on-premises environments
  • Design and implement scalable and secure cloud AI solutions using leading platforms and services
  • Lead the technical design and integration of AI and data platforms, focusing on scalability, performance, and security
  • Collaborate with business, development, and data teams to define architectures for LLM-based Agents, Agentic AI, Foundation Models, RAG, Deep Learning, NLP, and Computer Vision
  • Facilitate technical discussions with stakeholders to ensure business and technical requirements are understood and met
  • Advise on best practices for deploying AI and data pipelines in cloud and on-premises environments
  • Provide technical guidance and mentorship to developers and junior team members
  • Create and maintain comprehensive technical documentation for system architectures and infrastructure
  • Ensure activities comply with regulatory requirements and support implementation of the Group Anti-Bribery and Corruption Policy

Requirements

What you’ll need
  • 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
  • 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, including Terraform, Ansible, ARM, and CloudFormation
  • Knowledge of GitOps principles
  • In-depth understanding of secure application design and OWASP guidelines
  • Full lifecycle experience with complex, large-scale, and multi-user applications
  • Experience with Agile methodologies, including Kanban and Scrum
  • Ability to communicate complex technical concepts clearly with 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
  • Possession of at least one required certification: Cloud Solutions Architect Expert from Microsoft, AWS, or GCP, or Advanced Cloud Architecture Certifications
  • DevOps Engineer Expert certifications are nice to have
  • AI/ML Engineer Associate certifications are nice to have

Benefits

Comp & perks
  • Competitive compensation
  • Ticket restaurant card
  • Annual bonus programs
  • Cutting-edge IT equipment
  • Mobile and data plan
  • Modern facilities
  • Free coffee and beverages
  • Indoor parking
  • Company bus
  • Private health insurance
  • Onsite occupational doctor
  • Workplace counselor
  • Flexible working model
  • Hybrid benefits
  • Home equipment benefits
  • Onsite gym
  • Wellness facilities
  • Ping pong room
  • Career and talent development tools
  • Mentoring
  • Coaching
  • Personalized annual learning and development plan
  • Employee referral bonus
  • Regular wellbeing activities
  • ESG activities
  • Volunteering activities