AI Solution Architect

What's the role?\n\nWe are looking for an AI Solution Architect to join Marketing & Sales Data Infrastructure team. In this role, you'll be working on use case driven by the AI Accelerator team.\n\nAs an AI Solution Architect, you will lead the design and integration of advanced AI systems that leverage Machine Learning, Generative AI, Agentic AI, and Model Context Protocols.\n\nYou will architect scalable, secure, and context-aware platforms that enable intelligent agents and LLMs to operate autonomously, adaptively, and responsibly across enterprise environments.\n\nThis role bridges deep technical expertise with strategic vision, ensuring that AI systems are not only performant but also aligned with business goals, ethical standards, and emerging AI paradigms.\n\nYou will collaborate closely with our existing Data Engineering teams, AI Data Engineer and in-house Data Scientists, acting as a bridge between data sources and the advanced analytics and AI solutions being built. What You'll do\n\nThe role involves :\n\nAI System Architecture: Design end-to-end AI architectures that integrate ML models, GenAI components, agentic frameworks, and MCP-based context management. Context-Aware Design: Architect systems that support dynamic context injection via MCP, enabling LLMs and agents to reason and act based on real-time, historical, and semantic data. Agentic AI Enablement: Define infrastructure and orchestration patterns for autonomous agents, including memory, planning, tool use, and feedback loops. Generative AI Integration: Lead the implementation of GenAI capabilities (e.g., RAG, prompt engineering, fine-tuning) into enterprise applications and workflows. Data & Embedding Strategy: Collaborate with data engineers and data scientist to design vector stores, embedding pipelines, and semantic retrieval systems that support AI reasoning. <