Gen AI Architect - Immediate Joiners (Bengaluru, Chennai, Gurgaon & Pune)

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 technology 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.