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We are looking for a Senior AI Solution Architect to become part of our team.
This is a strategic and hands-on technology leadership position focused on architecting and delivering enterprise software delivery transformation programs, with an emphasis on AI-assisted development practices, cloud-native architecture, and modern engineering workflows. The role blends executive stakeholder collaboration with deep technical execution across Microsoft Azure, GitHub, and software engineering best practices, while taking ownership of the end-to-end technical vision and staying hands-on in critical architecture decisions, prototype development, and technical coaching.
- Deliver strategic and hands-on technology leadership across enterprise software delivery transformation efforts
- Design and execute large-scale programs built around AI-assisted development practices, cloud-native architecture, and modern engineering workflows
- Interact with executive stakeholders to guide technology direction and ensure alignment between delivery and business priorities
- Lead in-depth technical execution across Microsoft Azure, GitHub, and established software engineering practices
- Take ownership of the end-to-end technical vision, keeping architecture, engineering practices, and business objectives in sync
- Stay engaged directly in key architecture choices, prototype creation, and technical validation activities
- Guide and mentor engineering teams and technical leads to strengthen delivery capabilities and encourage adoption of modern practices
- No less than 10 years of IT background spanning software engineering and architecture areas
- Minimum of 5 years in Manager, Owner, Architect, or Coordinator positions
- Participation in 8 or more projects, or a proven history of bringing 2 or more products or key product features to market
- Demonstrated capability in managing engagements with teams of 40 or more FTEs, or smaller engagements that carry high business impact
- Practical mastery of AI-DLC (AI-driven Development Lifecycle) practices and their application within enterprise workflows
- Solid understanding of Context Engineering for creating effective, context-aware AI solutions
- Applied experience using GenAI for Systems Engineering Productivity to speed up engineering delivery
- Extensive expertise with Microsoft Azure cloud services and cloud-native architectural patterns
- Hands-on knowledge of Microsoft Copilot for boosting productivity and supporting AI-assisted development
- English proficiency at C1 level or higher, with confident communication in both executive and technical environments
- Recognized industry certifications in cloud, architecture, or AI-related fields
- Practical experience with DevOps practices for enhancing continuous integration, delivery, and operations
- Familiarity with Role-based Access Control (RBAC) for building secure and compliant enterprise systems
- Involvement in guiding digital transformation programs across multi-region or highly regulated environments
- Background in shaping technology strategy and innovation roadmaps at the organizational level