AI Solutions Architect

We are seeking an experienced AI Solution Architect to design and deliver scalable AI solutions aligned with business objectives. The ideal candidate will have strong experience identifying AI opportunities, defining relevant use cases, evaluating potential solutions, and translating business needs into practical AI architectures. Experience 8+ years Key Responsibilities Identify and prioritize AI/GenAI use cases based on business value, feasibility, and ROI. Translate business requirements into AI solution architectures and technical roadmaps. Design end-to-end AI solutions including data, models, APIs, applications, security, and integration. Evaluate potential AI technologies, platforms, models, and vendors to recommend the best-fit solution. Develop POCs and prototypes to validate AI use cases and demonstrate business value. Work with business, data, engineering, and product teams to move AI solutions from concept to production. Define approaches for Generative AI, LLMs, RAG, AI Agents, NLP, predictive analytics, and intelligent automation where applicable. Establish responsible AI practices covering security, privacy, governance, model performance, and scalability. Stay current with emerging AI technologies and identify opportunities for innovation. Required Skills Strong experience in AI/ML and Generative AI solution architecture. Experience defining AI use cases and mapping them to potential technical solutions. Knowledge of LLMs, RAG, prompt engineering, AI Agents, vector databases, and model integration. Experience with cloud AI platforms such as Azure AI, AWS AI/ML, or Google Cloud AI. Strong understanding of data architecture, APIs, microservices, and enterprise integration. Ability to communicate complex AI concepts to both technical and business stakeholders. Strong problem-solving, architecture, and stakeholder-management skills. #J-18808-Ljbffr AiRo Digital Labs