AI Engineer Lead/Architect

We are seeking an experienced AI Lead/Architect to drive the design, development, and implementation of enterprise-scale AI and Generative AI solutions. The ideal candidate will possess deep expertise in AI/ML, Large Language Models (LLMs), Microsoft Copilot technologies, Agentic AI, and cloud-native architectures. This role requires strong leadership capabilities to define AI strategy, mentor engineering teams, and deliver innovative business solutions. Key Responsibilities • Lead the architecture, design, and delivery of enterprise AI and Generative AI solutions. • Define AI strategy, roadmap, governance, and best practices across the organization. • Design and implement AI-powered applications utilizing LLMs, RAG, Knowledge Graphs, Vector Databases, and Agentic AI frameworks. • Architect and develop solutions using Microsoft Copilot Studio, Azure AI Services, Azure OpenAI, and Microsoft ecosystem technologies. • Collaborate with business stakeholders to identify AI use cases and translate them into scalable technical solutions. • Develop AI agents, copilots, and conversational AI platforms for enterprise users. • Design MLOps and LLMOps frameworks for model deployment, monitoring, governance, and lifecycle management. • Ensure AI solutions comply with security, privacy, responsible AI, and regulatory requirements. • Provide technical leadership, conduct architecture reviews, and mentor development teams. • Establish standards for prompt engineering, AI model evaluation, and performance optimization. Required Qualifications • 12+ years of experience in Software Engineering, Data Engineering, AI/ML, or Solution Architecture. • 5+ years of experience leading AI/ML or Data Science initiatives. • Strong expertise in: • Generative AI and Large Language Models (GPT, Claude, Gemini, Llama) • Retrieval-Augmented Generation (RAG) • Agentic AI and Multi-Agent Systems • Prompt Engineering • Knowledge Graphs and Graph Databases (TigerGraph, Neo4j) • Vector Databases (Pinecone, Weaviate, Chroma, Azure AI Search) • Machine Learning and Deep Learning frameworks • Hands-on experience with: • Microsoft Copilot Studio • Azure OpenAI Service • Azure AI Foundry / AI Services • Azure Machine Learning • Python, SQL, REST APIs • Experience designing cloud-native solutions on Azure. • Strong understanding of API integration, microservices, and event-driven architectures. • Excellent communication, stakeholder management, and leadership skills. This is an excellent opportunity for a visionary AI leader to shape enterprise AI strategy and build next-generation Copilot and Agentic AI solutions at scale.