AI ARCHITECT

About the role

We are seeking an experienced AI Architect to lead the design and delivery of enterprise-scale AI, cloud modernization, and digital transformation initiatives. The ideal candidate will have deep expertise in Azure and Google Cloud Platform (GCP), enterprise application architecture, cloud-native development, and Generative AI technologies. This role will drive AI strategy, architect scalable and secure solutions, modernize legacy applications, and lead the implementation of intelligent enterprise platforms.

Responsibilities

• Lead enterprise application modernization, cloud transformation, and AI architecture initiatives.
• Design scalable, secure, and highly available solutions across Microsoft Azure and Google Cloud Platform (GCP).
• Define cloud architecture, modernization roadmaps, governance frameworks, and technology standards aligned with business objectives.
• Modernize legacy applications using cloud-native architectures, microservices, APIs, containers, and Azure PaaS services.
• Lead migration of enterprise applications from on-premises environments to Azure/GCP.
• Architect and implement enterprise AI and Generative AI solutions using Azure AI and OpenAI technologies.
• Develop enterprise copilots, intelligent assistants, document intelligence platforms, and knowledge management solutions.
• Design Retrieval-Augmented Generation (RAG) architectures leveraging vector databases and semantic search.
• Establish security, scalability, performance, reliability, and operational best practices for cloud and AI platforms.
• Collaborate with business stakeholders, engineering teams, and product leaders to deliver customer-facing digital solutions.
• Mentor development teams and provide technical leadership throughout solution delivery.

Requirements

• 10+ years of software engineering and enterprise application delivery experience.
• 5+ years of Azure and/or Google Cloud Platform (GCP) architecture experience.
• 3+ years of hands-on experience delivering AI and Generative AI solutions.
• Proven experience leading enterprise digital transformation and customer-facing platform initiatives.
• Strong expertise in cloud architecture, application modernization, and enterprise solution design.
• Experience designing microservices-based, API-driven, cloud-native applications.
• Strong knowledge of architectural governance, cloud security, and operational best practices.
• Excellent leadership, stakeholder management, and solution architecture skills.