Director, AI Solutions Architect
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
