AI Solutions Architect

Purpose 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 Preferred Skills Experience with cloud AI platforms (Azure AI, AWS SageMaker, GCP Vertex AI) Familiarity with MLOps practices, evaluation frameworks, and deployment pipelines Exposure to enterprise security, compliance, and responsible AI governance Prior experience in consulting or client delivery environments A Culture of Belonging: At our core, we value diversity and inclusion. As an equal opportunity employer, we are dedicated to creating a workplace where every voice is heard, every person is respected, and everyone has the opportunity to succeed.