Prodapt is the largest and fastest-growing specialized player in the Connectedness industry, recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider across North America, Europe and Latin America. With its singular focus on the domain, Prodapt has built deep expertise in the most transformative technologies that connect our world. Prodapt is a trusted partner for enterprises across all layers of the Connectedness vertical. Prodapt designs, configures, and operates solutions across their digital landscape, network infrastructure, and business operations – and craft experiences that delight their customers. Today, Prodapt’s clients connect 1.1 billion people and 5.4 billion devices, and are among the largest telecom, media, and internet firms in the world. Prodapt works with Google, Amazon, Verizon, Vodafone, Liberty Global, Liberty Latin America, Claro, Lumen, Windstream, Rogers, Telus, KPN, Virgin Media, British Telecom, Deutsche Telekom, Adtran, Samsung, and many more. A “Great Place To Work® Certified™” company, Prodapt employs over 6,000 technology and domain experts in 30+ countries across North America, Latin America, Europe, Africa, and Asia. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 30,000 people across 80+ locations globally.

We are seeking a Lead AI Architect to join our team, working with a leading FinTech client to develop innovative AI solutions. Our client is building a GenAI Developer Assistant—an end-to-end GenAI-driven SDLC assistant framework. This platform leverages advanced GenAI technologies to accelerate product development and deployment, fostering innovation and delivering services to customers swiftly.

The AI Architect will serve as the primary liaison between the customer and the offshore team, coordinating with the customer’s teams to gather requirements and ensure platform goals are aligned.

Provide technical guidance on LLM and RAG architecture to the offshore team, overseeing the integration and deployment of LLM models and ensuring compliance with customer-specific requirements.

The role includes integrating webhooks into IDEs for code assist functionalities, leading discussions on multi-agent frameworks, and ensuring proper multi-agent interactions.

Additionally, handle on-the-ground troubleshooting, rapid prototyping, and knowledge transfer to the customer’s internal teams.

Education Qualification & Experience:

Bachelor's Degree & Minimum 10 years of total IT experience