We are HCLTech, one of the fastest growing large tech companies in the world and home to 219,000+ people across 60 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud.
Job Location - HCLTech Singapore
Eligibility - Should be a graduate with transcript available, holding a valid passport and willing to relocate to Singapore.
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.
Key Requirements:
- Possess a Degree in Computer Science/Information Technology or related fields.
- Minimum 3 years of experience with 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.
Why Join Us?
- Be part of a global tech leader.
- Work in a diverse and inclusive environment.
- Grow your career with comprehensive learning and development programs.
- Enjoy a competitive benefits package and flexible work culture.
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