Senior Business Advisor (AI)

LINK COMPLIANCE PTE. LTD.; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

A leading AI technology firm in Singapore is seeking a Senior Business Advisor (AI) to lead the end-to-end AI technology strategy and product development. This role demands at least 10 years of experience in AI research and product delivery, alongside a Master’s degree in Computer Science or a related field. Candidates should possess strong skills in machine learning, NLP, and LLM fine-tuning, with demonstrable leadership capabilities. This position is critical for driving innovation and supporting business expansion through AI solutions.

Qualifications

• Master’s in Computer Science or related fields is required.
• 10+ years of experience in AI research and product delivery.
• Practical experience with LLM development and NLP engineering.

Responsibilities

• Lead AI technology strategy and architecture.
• Oversee development of AI-driven products.
• Collaborate with universities and industry for AI innovation.

Skills

Machine learning

Deep learning

Natural Language Processing (NLP)

LLM fine-tuning

Algorithm optimization

Education

Master’s Degree in Computer Science or related fields

Tools

PyTorch

TensorFlow

Transformers

Job description

The Senior Business Advisor (AI) is responsible for leading the company’s end-to-end AI technology strategy, research, architecture design, and product development. This role oversees the planning, development, and implementation of large-scale AI systems, including LLM-based intelligent platforms, NLP engines, interactive agents, and applied AI solutions for commercial use cases.

The position plays a critical role in driving technological innovation and delivering AI products that support the company’s business expansion.

Key Responsibilities

A. AI Technology Strategy & Architecture

• Design and lead the overall technology roadmap for AI, LLM-based systems, and intelligent product platforms.
• Architect large-scale AI applications, including conversational agents, recommendation models, NLP pipelines, and multimodal AI systems.
• Evaluate, integrate, and optimize advanced models (e.g., LLMs, generative models, predictive algorithms) for business scenarios.

B. Research & Development Leadership

• Lead AI research efforts in NLP, LLM fine-tuning, controllable text generation, information extraction, and intelligent decision systems.
• Oversee the development of prototype systems, MVPs, and production-level AI features.
• Conduct continuous performance benchmarking, model optimization, and algorithm improvement.

C. Product Innovation & Delivery

• Direct the full lifecycle development of AI-driven products, from design, experimentation, testing, deployment to iteration.
• Lead cross-functional collaboration between engineering, product, operations, and business teams to translate business needs into scalable AI solutions.
• Ensure successful delivery of intelligent assistants, educational AI systems, voice agent platforms, and other enterprise-level AI solutions.

D. External Collaboration & Innovation Development

• Collaborate with universities, research labs, and industry partners on AI innovation projects.
• Stay updated with global AI research trends and introduce cutting-edge technologies to enhance the company’s competitiveness.

Qualifications

Educational Background

• Master’s Degree in Computer Science, Artificial Intelligence, Computer Application Technology, or related fields.
• Academic and research experience in AI, NLP, machine learning, or intelligent systems is required.

Professional Experience

• At least 10 years of experience in AI research, NLP engineering, algorithm development, or intelligent system design.
• Proven track record in delivering large-scale AI products.
• Practical experience with LLM development, generative language models (e.g., T5, BART, GPT series), search/recommendation algorithms, and interactive intelligent agents.

Technical Skills

• Strong proficiency in machine learning, deep learning, NLP, and LLM fine-tuning.
• Familiarity with AI frameworks such as PyTorch, TensorFlow, Transformers, and large-scale distributed systems.
• Expertise in algorithm optimization, dataset engineering, evaluation methodologies, and model deployment.

Leadership Skills

• Demonstrated ability to lead multidisciplinary technical teams and manage complex AI projects.
• Strong communication skills to coordinate with internal and external stakeholders.
• Ability to drive innovation and provide long-term technical direction.