Description:
We are seeking an experienced AI/GenAI Solution Architect to lead the design and delivery of enterprise-grade AI solutions. The role involves engaging with clients to understand AI/ML use cases, designing scalable and production-ready architectures, and leading end-to-end implementation across data, models, integration, and deployment layers.
Responsibilities
- Engage with clients early to understand AI/GenAI/ML use cases and business requirements
- Design proposed AI architectures and delivery approaches for opportunities
- Provide effort estimates, assumptions, and implementation roadmaps for AI components
- Lead end-to-end AI/GenAI solution architectures including data, models, integration, and deployment
- Own scoped AI work packages delivered by the AI CoE within larger delivery projects
- Ensure AI solutions are production-grade, secure, scalable, and maintainable
- Collaborate with delivery teams for integration, handover, and deployment support
- Establish reusable reference architectures, patterns, and best practices
- Lead AI-enabled development initiatives across delivery teams
- Standardize AI tools and workflows across the software development lifecycle (requirements, design, coding, testing, documentation)
- Maintain awareness of emerging AI tools, models, and industry trends
- Support internal incubation efforts and AI technology radar initiatives
- Guide and mentor junior AI engineer and data analysts, providing technical direction, support, and feedback to elevate team expertise.
Required Qualifications
- 8+ years of experience in solution architecture, AI/ML engineering, or related roles
- Strong understanding of AI/ML concepts, GenAI architectures, and modern model ecosystems
- Experience designing AI solutions for enterprise clients, including integration into business applications
- Hands-on familiarity with GenAI patterns such as RAG, agents, embeddings, and prompt engineering
- Strong communication and stakeholder management skills, especially in client-facing settings
- Ability to work across pre-sales, delivery, and engineering teams