Principal AI Architect, Singapore
Principal AI Architect, Singapore
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Singapore
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Posted: less than a week ago
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Description
Responsibilities Design comprehensive AI solution and technology architecture, integrating latest AI technology developments into world-class solutions. Lead high-level architectural discussions with clients, providing expert guidance on best practices for AI implementations across AI PC, Edge, Data Centre and Public Cloud environments. Ensure solutions align with modern best practices across the full spectrum of platforms and environments. Deep understanding across GPU/NPU, Cognitive Infrastructure, Application and Copilot/agent domains. Contribute to HCL's thought leadership in the AI & Cloud domains with a deep understanding of opensource technologies (e.g., Kubernetes, OPEA) and partner technologies. Collaborate on joint technical projects with global partners, including Google, Microsoft, AWS, NVIDIA, IBM, Red Hat, Intel, and Dell. Architect innovative AI solutions from ideation to MVP, rapidly enabling genuine business value. Optimize AI and cloud architectures to meet client requirements, balancing efficiency, accuracy and effectiveness. Provide expert architectural and strategy guidance to clients on incorporating Generative AI into their business and technology landscape.
Requirements Possess a Degree in Computer Science/Information Technology or related fields. Minimum 10 years of architecture design and software engineering. Professional-level expertise in Public Cloud environments (AWS, Azure, Google Cloud). Expertise in AI model fine-tuning and evaluation, with a focus on improving performance for specialized tasks. Demonstrable coding proficiency with Python, Java or Go languages. Advanced machine learning algorithms, GenAI models (e.g., GPT, BERT, DALL-E, GEMINI), NLP techniques. Working familiarity with Copilot solutions, in both software engineering and office productivity domains. Knowledge of GenAI operations (LLMOps), experience Governing AI models in production environments. Proficiency in data engineering for AI, including data preprocessing, feature engineering, and pipeline creation.
Requirements Possess a Degree in Computer Science/Information Technology or related fields. Minimum 10 years of architecture design and software engineering. Professional-level expertise in Public Cloud environments (AWS, Azure, Google Cloud). Expertise in AI model fine-tuning and evaluation, with a focus on improving performance for specialized tasks. Demonstrable coding proficiency with Python, Java or Go languages. Advanced machine learning algorithms, GenAI models (e.g., GPT, BERT, DALL-E, GEMINI), NLP techniques. Working familiarity with Copilot solutions, in both software engineering and office productivity domains. Knowledge of GenAI operations (LLMOps), experience Governing AI models in production environments. Proficiency in data engineering for AI, including data preprocessing, feature engineering, and pipeline creation.
Highlights
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Company nameHCL TechBee
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Job positionPrincipal AI Architect
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