Role Overview
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We\nare seeking an experienced AI Engineering Leader to drive the architecture,\ndevelopment, and delivery of next\-generation AI\-powered Metaverse products. The\nideal candidate will have deep expertise in Generative AI, Large Language\nModels (LLMs), Retrieval\-Augmented Generation (RAG), Machine Learning, Deep\nLearning, Transformers, and AI product development. The role requires strong\ntechnical leadership, product ownership, and the ability to build scalable AI\nsolutions integrated with immersive Metaverse environments.<\/span><\/span><\/span>
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Key Responsibilities<\/span>
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\u2022 <\/span><\/span>Define\nand drive the AI technology vision and roadmap for Metaverse products.<\/span>
<\/span> \u2022 Lead end\-to\-end AI product development from concept to deployment.<\/span>
<\/span> \u2022 Design and implement LLM\-powered applications, AI agents, copilots, and\nintelligent assistants.<\/span>
<\/span> \u2022 Build scalable RAG architectures integrating vector databases and enterprise\nknowledge repositories.<\/span>
<\/span> \u2022 Develop and optimize ML and Deep Learning models for real\-world business\napplications.<\/span>
<\/span> \u2022 Lead research and implementation of Transformer\-based architectures.<\/span>
<\/span> \u2022 Collaborate with Product, Engineering, UX, BIM, CAD/CAE, Digital Twin, and\nMetaverse teams.<\/span>
<\/span> \u2022 Establish AI governance, model evaluation, security, and responsible AI\npractices.<\/span>
<\/span> \u2022 Drive cloud\-native AI deployments and MLOps practices.<\/span>
<\/span> \u2022 Mentor and lead high\-performing AI engineering and data science teams.<\/span><\/span><\/span><\/p>

Must\-Have Skills<\/span>
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\u2022<\/span><\/span> 6<\/span><\/span><\/span><\/span><\/span><\/span>+ years of\nsoftware engineering and product development experience.<\/span><\/span><\/span>
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\u2022<\/span><\/span> 3<\/span><\/span><\/span><\/span><\/span><\/span>+ years of\nhands\-on experience in Machine Learning and AI product development.<\/span><\/span><\/span>
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\u2022<\/span><\/span> <\/span><\/span><\/span><\/span><\/span><\/span>Prompt Engineering:<\/span><\/span><\/span><\/span><\/b> Utilizing\nLLMs and generative AI tools to accelerate code writing and data extraction.<\/span><\/span><\/span><\/span>
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\u2022<\/span><\/span> <\/span><\/span><\/span><\/span><\/span><\/span>Data Governance:<\/span><\/span><\/span><\/span><\/b> Ensuring\nAI models follow privacy laws, security protocols, and ethical data\nguidelines. <\/span><\/span><\/span><\/span>
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\u2022<\/span><\/span> <\/span><\/span><\/span><\/span><\/span><\/span>Strong\nexpertise in Generative AI and Large Language Models (OpenAI, Llama, Claude,\nGemini, etc.).<\/span><\/span><\/span>
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\u2022<\/span><\/span> <\/span><\/span><\/span><\/span><\/span><\/span>Proven\nexperience designing and implementing RAG\-based systems.<\/span><\/span><\/span>
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\u2022<\/span><\/span> <\/span><\/span><\/span><\/span><\/span><\/span>Deep\nunderstanding of Transformer architectures and attention mechanisms.<\/span><\/span><\/span>
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\u2022<\/span><\/span> <\/span><\/span><\/span><\/span><\/span><\/span>Strong\nexperience with Deep Learning frameworks such as PyTorch and TensorFlow.<\/span><\/span><\/span>
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\u2022<\/span><\/span> <\/span><\/span><\/span><\/span><\/span><\/span>Experience in\nNLP, semantic search, embedding, vector databases, and knowledge retrieval.<\/span><\/span><\/span>
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\u2022<\/span><\/span> <\/span><\/span><\/span><\/span><\/span><\/span>Expertise in AI model training, fine\-tuning, evaluation, and\noptimization.<\/span><\/span><\/span>
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\u2022<\/span><\/span> <\/span><\/span><\/span><\/span><\/span><\/span>Strong programming skills in Python and related AI ecosystems.<\/span><\/span><\/span>
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\u2022<\/span><\/span> <\/span><\/span><\/span><\/span><\/span><\/span>Experience with cloud platforms (AWS, Azure, or GCP).<\/span><\/span><\/span>
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\u2022<\/span><\/span> <\/span><\/span><\/span><\/span><\/span><\/span>Experience implementing MLOps, CI/CD, model monitoring, and AI\ndeployment pipelines.<\/span><\/span><\/span>
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\u2022<\/span><\/span> <\/span><\/span><\/span><\/span><\/span><\/span>Strong product ownership and stakeholder management experience.<\/span><\/span><\/span>
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\u2022<\/span><\/span> <\/span><\/span><\/span><\/span><\/span><\/span>Experience leading large engineering teams and delivering\nenterprise\-scale products.<\/span><\/span><\/span>
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Good\-to\-Have Skills<\/span>
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\u2022\nExperience in Metaverse, Digital Twin, XR/VR/AR platforms.<\/span>
<\/span> \u2022 Exposure to CAD, CAE, BIM, construction technology, or industrial engineering\ndomains.<\/span>
<\/span> \u2022 Experience building AI agents and autonomous workflows.<\/span>
<\/span> \u2022 Knowledge of Graph RAG, Knowledge Graphs, and Agentic AI frameworks.<\/span>
<\/span> \u2022 Experience with multi modal AI models (text, image, video, 3D).<\/span>
<\/span> \u2022 Exposure to computer vision, 3D scene understanding, and spatial computing.<\/span>
<\/span> \u2022 Experience with Unity, Unreal Engine, or real\-time 3D platforms.<\/span>
<\/span> \u2022 Understanding of distributed systems and high\-performance computing.<\/span>
<\/span> \u2022 Publications, patents, or contributions in AI research.<\/span><\/span><\/span><\/p>

Educational Qualifications<\/span>
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\u2022 <\/span><\/span>Bachelor's\nor Master's degree in Computer Science, Artificial Intelligence, Machine\nLearning, Data Science, or related field.<\/span><\/span><\/span>
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Leadership Expectations<\/span>
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\u2022 <\/span><\/span>Ability\nto define AI strategy aligned with business objectives.<\/span>
<\/span> \u2022 Drive innovation and adoption of emerging AI technologies.<\/span>
<\/span> \u2022 Build and mentor world\-class AI engineering teams.<\/span>
<\/span> \u2022 Communicate effectively with executive leadership, clients, and technical\nteams.<\/span><\/span><\/span><\/p>

Success Metrics<\/span>
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\u2022 <\/span><\/span>Successful\ndelivery of AI\-powered Metaverse products.<\/span>
<\/span> \u2022 Scalable deployment of LLM and RAG\-based solutions.<\/span>
<\/span> \u2022 AI innovation, patents, research contributions, and product impact.<\/span>
<\/span> \u2022 Team growth, engineering excellence, and customer satisfaction.<\/span><\/span><\/span><\/p>

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