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
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Provide strategic and hands-on technology leadership across enterprise software delivery transformation initiatives
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Architect and deliver large-scale programs centered on AI-assisted development practices, cloud-native architecture, and modern engineering workflows
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Engage with executive stakeholders to shape technology direction and align delivery with business priorities
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Drive deep technical execution across Microsoft Azure, GitHub, and industry-standard software engineering practices
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Own the end-to-end technical vision, ensuring alignment between architecture, engineering practices, and business outcomes
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Remain hands-on in critical architecture decisions, prototype development, and technical validation activities
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Coach and mentor engineering teams and technical leads to elevate delivery capabilities and adoption of modern practices
Requirements
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A minimum of 12 years of IT experience across software engineering and architecture domains
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At least 8 years in Manager, Owner, Architect, or Coordinator roles
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Experience contributing to 10 or more projects, or a track record of launching 3 or more products or key product capabilities to the market
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Proven ability to manage engagements involving teams of 70 or more FTEs, or engagements of smaller size with significant business impact
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Hands-on expertise with AI-DLC (AI-driven Development Lifecycle) practices and their integration into enterprise workflows
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Strong knowledge of Context Engineering for building effective, context-aware AI solutions
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Practical experience applying GenAI for Systems Engineering Productivity to accelerate engineering delivery
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Deep proficiency with Microsoft Azure cloud services and cloud-native architecture patterns
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Hands-on experience with Microsoft Copilot to enhance productivity and enable AI-assisted development
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English proficiency at C1 level or higher, with the ability to communicate confidently in executive and technical settings
Nice to have
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Relevant industry certifications in cloud, architecture, or AI-related domains
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Hands-on background in DevOps practices for streamlining continuous integration, delivery, and operations
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Familiarity with Role-based Access Control (RBAC) for designing secure and compliant enterprise systems
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Exposure to leading digital transformation initiatives across multi-region or highly regulated environments
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Experience shaping technology strategy and innovation roadmaps at an organizational level
We offer
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International projects with top brands
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Work with global teams of highly skilled, diverse peers
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Healthcare benefits
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Employee financial programs
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Paid time off and sick leave
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Upskilling, reskilling and certification courses
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Unlimited access to the LinkedIn Learning library and 22,000+ courses
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Global career opportunities
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Volunteer and community involvement opportunities
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EPAM Employee Groups
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Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.
