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Director, AI Solutions Architect

Remote in Mexico
AI Solution Engineering& 7 others
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We are seeking a Director-level AI Solution Architect to join our team.

This is a strategic and hands-on technology leadership role responsible for architecting and delivering enterprise software delivery transformation programs, with a focus on AI-assisted development practices, cloud-native architecture, and modern engineering workflows. The role combines executive stakeholder engagement with deep technical execution across Microsoft Azure, GitHub, and software engineering best practices, while owning the end-to-end technical vision and remaining hands-on in critical architecture decisions, prototype development, and technical coaching.

Responsibilities
  • Provide strategic and hands-on technology leadership across enterprise software delivery transformation initiatives
  • Architect and deliver large-scale programs centered on AI-assisted development practices, cloud-native architecture, and modern engineering workflows
  • Engage with executive stakeholders to shape technology direction and align delivery with business priorities
  • Drive deep technical execution across Microsoft Azure, GitHub, and industry-standard software engineering practices
  • Own the end-to-end technical vision, ensuring alignment between architecture, engineering practices, and business outcomes
  • Remain hands-on in critical architecture decisions, prototype development, and technical validation activities
  • Coach and mentor engineering teams and technical leads to elevate delivery capabilities and adoption of modern practices
Requirements
  • A minimum of 12 years of IT experience across software engineering and architecture domains
  • At least 8 years in Manager, Owner, Architect, or Coordinator roles
  • Experience contributing to 10 or more projects, or a track record of launching 3 or more products or key product capabilities to the market
  • Proven ability to manage engagements involving teams of 70 or more FTEs, or engagements of smaller size with significant business impact
  • Hands-on expertise with AI-DLC (AI-driven Development Lifecycle) practices and their integration into enterprise workflows
  • Strong knowledge of Context Engineering for building effective, context-aware AI solutions
  • Practical experience applying GenAI for Systems Engineering Productivity to accelerate engineering delivery
  • Deep proficiency with Microsoft Azure cloud services and cloud-native architecture patterns
  • Hands-on experience with Microsoft Copilot to enhance productivity and enable AI-assisted development
  • English proficiency at C1 level or higher, with the ability to communicate confidently in executive and technical settings
Nice to have
  • Relevant industry certifications in cloud, architecture, or AI-related domains
  • Hands-on background in DevOps practices for streamlining continuous integration, delivery, and operations
  • Familiarity with Role-based Access Control (RBAC) for designing secure and compliant enterprise systems
  • Exposure to leading digital transformation initiatives across multi-region or highly regulated environments
  • Experience shaping technology strategy and innovation roadmaps at an organizational level