Gen AI Architect

Role Overview: As a Generative AI Lead Engineer at Xebia, you will be responsible for designing and delivering enterprise-scale solutions for strategic clients. You will be expected to translate client business problems into end-to-end solution architectures, design cloud-native applications and AI-driven solutions using AWS services, and lead the delivery of Generative AI and Agentic AI solutions. Additionally, you will act as a technical leader for engineering teams, staying ahead of emerging AI/ML technologies and collaborating with stakeholders to align technology with business goals. Key Responsibilities: - Translate client business problems into end-to-end solution architectures. - Design cloud-native applications and AI-driven solutions using AWS services. - Create solution diagrams, architecture blueprints, and detailed design documents (HLD & LLD). - Architect and guide the delivery of Generative AI and Agentic AI solutions (AWS Bedrock, SageMaker, LLMOps, Azure). - Define data pipelines and integration patterns using AWS-native services. - Ensure solutions follow Azure/AWS Well-Architected best practices for scalability, performance, and security. - Act as a technical leader for engineering teams, ensuring design-to-delivery alignment. - Stay ahead of emerging AI/ML technologies and bring innovative approaches to client engagements. - Collaborate with business and IT stakeholders to align technology with business goals. Qualifications Required: - Strong experience in application architecture (cloud-native, microservices, APIs, integration patterns). - Hands-on expertise with AWS services/Azure for applications, data, and AI/ML. - Strong knowledge of Generative AI, Agentic AI, and LLMOps. - Proven ability to create end-to-end solution designs (HLD/LLD) and lead technical delivery. - Experience in enterprise data platforms (data lakes, ETL, analytics) on AWS. - Excellent consulting, communication, and client-facing skills.,