Gen Ai Architect

About Xebia Xebia is a trusted advisor in the modern era of digital transformation, serving hundreds of leading brands worldwide with end-to-end IT solutions. The company has experts specializing in t echnology consulting, software engineering, AI, digital products and platforms, data, cloud, intelligent automation, agile transformation, and industry digitization. In addition to providing high-quality digital consulting and state-of-the-art software development, Xebia has a host of standardized solutions that substantially reduce the time-to-market for businesses. Xebia also offers a diverse portfolio of training courses to help support forward-thinking organizations as they look to upskill and educate their workforce to capitalize on the latest digital capabilities. The company has a strong presence across 16 countries with development centres across the US, Latin America, Western Europe, Poland, the Nordics, the Middle East, and Asia Pacific. Job Title: Generative AI Lead Engineer Exp: 9+ yrs Location: Bengaluru, Chennai, Gurgaon & Pune Hybrid / Remote Job Description – Gen AI Lead | Application & AI/ML/Generative AI) About the Role We are looking for a Solution Architect (Azure / AWS | Application & AI/ML/Generative AI) to design and deliver enterprise-scale solutions for a strategic client. The ideal candidate will be a blend of an Application Architect and an AI/ML/Generative AI Architect , with the ability to design robust cloud-native applications while driving innovation through Agentic AI and emerging AI technologies . 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. Skills & Experience 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 .