AI Application Developer

Sogeti is seeking an AI Application Developer to lead the strategy, architecture, design, and implementation of enterprise-scale Generative AI solutions for its clients. The role focuses on agentic and multi-agent architectures, cloud-native AI applications, and integrating AI platforms with enterprise systems.

Responsibilities:

• Lead the architecture, design, and implementation of enterprise-scale Generative AI, Agentic AI, multi-agent, and Agent-to-Agent (A2A) solutions that address complex business challenges
• Design scalable AI application architectures utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, vector databases, semantic search, and modern AI orchestration frameworks
• Architect and implement autonomous multi-agent workflows, intelligent agent orchestration, and Agent-to-Agent communication patterns across enterprise environments
• Partner with clients and business stakeholders to translate strategic business objectives into scalable, secure, and enterprise-ready AI solutions
• Design and implement AI solutions utilizing cloud-native technologies across Microsoft Azure, AWS, and GCP , including services such as Azure OpenAI, Azure AI Services, AWS Bedrock, Amazon SageMaker, Vertex AI, Databricks , and related AI platforms
• Create and maintain High-Level Designs (HLDs), Low-Level Designs (LLDs), architecture diagrams, API specifications, technical documentation, and implementation roadmaps
• Design and oversee integrations between AI platforms and enterprise applications, cloud services, APIs, databases, and third-party systems