Senior Manager (AI Engineer) (Future Capabilities)

Singaporesenior

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Quick Summary

Key Responsibilities

Define, develop, and deploy AI/ML solutions to solve business problems, including translating complex AI/ML concepts and

Technical Tools

OtherManager

Candidate will be responsible for overseeing the delivery of cutting-edge artificial intelligence and machine learning products from conception to deployment. This role requires a unique blend of proven technical expertise, a deep understanding of AI/ML technologies and their practical applications, and product management skills.

Responsibilities

~1 min read

→Define, develop, and deploy AI/ML solutions to solve business problems, including translating complex AI/ML concepts and requirements into detailed project plans.
→Apply appropriate machine learning algorithms (supervised or unsupervised learning) and understand trade-offs to any data problem.
→Define tools required for a product development and provide advice to organisation on suitable development environments/tools to deploy.
→Analyse the engineering trade-offs and choices, and articulate technical decision to the rest of the team to help them understand.
→Implement safeguards and controls for AI-generated content.
→Collaborate with cross-functional teams, including data scientists, engineers, product owners, and stakeholders, to define product requirements and roadmaps.
→Document workflows and maintain reproducibility of AI pipelines.
→Ensure compliance with Singapore Government security and data governance standards.

Bachelor’s degree in computer science, Information Technology, or a related field in data science/ML/AI.
Proven experience in developing products using modern AI/ML frameworks and tools (e.g., PyTorch, TensorFlow, Hugging Face), including latest GenAI tools.
Familiarity with AI orchestration frameworks (e.g., Langchain, LlamaIndex, CrewAI).
Proven experience in managing the delivery of AI/ML products or projects.
Strong understanding of machine learning algorithms, data structures, and software development principles (including frontend and backend), Retrieval-Augmented Generation, and agentic AI.
Knowledge of responsible AI principles and ethical considerations
Pass the online technical assessment administered by the Government Technology Agency’s Digital Academy and submit the official results to BCA as part of the recruitment process.
Strong project management, analytical and problem-solving skills.
Excellent communication and interpersonal skills, with the ability to work effectively in a team environment.
PMP, Agile, Scrum, or similar certifications are a plus.

A passion for AI/ML technology and its potential to transform businesses.
A proactive approach to problem-solving and the ability to anticipate needs and challenges.
A commitment to continuous learning and development in the field of AI/ML.
High level of personal integrity and the ability to professionally handle confidential matters.