AI Architect

Job Description

We are seeking AI Architect to lead the design, development, and deployment of advanced AI systems, with a strong emphasis on Large Language Models (LLMs) , fine-tuning , and customer experience (CX) technologies . This role blends deep technical expertise with leadership, research, and infrastructure planning to deliver intelligent, scalable, and customer-centric AI solutions across cloud and on-premise environments. Key Responsibilities 1. LLM Development & Fine-Tuning Architect and implement scalable solutions for training and fine-tuning LLMs Apply prompt engineering, transfer learning, and optimization techniques to enhance model performance. Integrate LLMs into customer-facing applications such as chatbots, VOICE AI agents, Expert AI agents, and recommendation engines. 2. Customer Experience (CX) Technology Integration Collaborate with CX and product teams to embed AI into customer journeys, improving personalization, automation, and engagement. Design AI-driven solutions for omnichannel support, sentiment analysis, and real-time feedback loops. Ensure AI systems align with customer satisfaction goals and ethical AI principles. 3. Technical Leadership & Team Management Lead and mentor a multidisciplinary team of AI engineers, data scientists, and MLOps professionals. Drive agile development practices and foster a culture of innovation and accountability. 4. Research & Innovation Conduct and apply research in NLP, LLMs, and AI infrastructure to solve real-world customer experience problems. Contribute to publications, patents, or open-source initiatives as appropriate. Guide team and maintain detailed architecture diagrams, design documents, and technical specifications. 5. Product Roadmap & Delivery Define and execute the AI product roadmap in collaboration with engineering and business stakeholders. Manage timelines, deliverables, and cross-functional dependencies. Plan and manage GPU infrastructure for training and inference (e.g., A100, H100, L40S). 6. Deployment & MLOps Deploy AI models on Azure, AWS , and on-premise GPU clusters using containerized and scalable architectures. Integrate with CI/CD pipelines and ensure robust monitoring, logging, and rollback mechanisms. Qualifications Master’s or Ph.D. in Computer Science, AI, Machine Learning, or related field. 5+ years of experience in AI/ML, with 1.5 + years in a leadership or GEN AI architect role. Proven experience with LLMs, Transformers, and fine-tuning frameworks (e.g., Hugging Face). Strong understanding of customer experience platforms and how AI can enhance them. Proficiency in Python, PyTorch, TensorFlow, and MLOps tools. Experience with cloud platforms (Azure, AWS) and on-premise GPU infrastructure. Why Join Us? Shape the future of AI-powered customer experiences, visibility to global customer AI deployments. Lead a high-impact team working on state-of-the-art technologies. Competitive compensation, and continuous learning opportunities Show more Show less