AI Application 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 .