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Data & AI - Artificial Intelligence Engineer

Cfgi
Location
Singapore
Posted
1 month ago
Department
Finance & Accounting Advisory
What they actually want (must-haves)
  • Approximately 5–10 years of experience in artificial intelligence engineering, machine-learning engineering, software engineering, data engineering, machine-learning operations, and/or related technical delivery, including substantial hands-on experience building and shipping production artificial intelligence or machine-learning systems.
  • Hands-on experience taking artificial intelligence or machine-learning solutions through the full production lifecycle, including build, deployment, monitoring, evaluation, and ongoing production operation.
  • Experience delivering technical solutions in a client-facing, business-facing, or executive-stakeholder environment and explaining complex artificial intelligence solutions clearly to non-technical stakeholders.
Nice to have
  • Healthcare and life-sciences experience involving clinical, regulatory, real-world-evidence, healthcare-data, or related artificial intelligence use cases.
  • Experience with healthcare data standards, interoperability frameworks, and clinical ontologies such as Fast Healthcare Interoperability Resources (FHIR), Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT), the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM), or comparable standards.
  • Office-of-the-Chief-Financial-Officer experience involving artificial intelligence for financial close, financial reporting, controls, risk, finance operations, or related use cases.
  • A recognized cloud, artificial intelligence, machine-learning, machine-learning-operations, security, or related technical certification.
  • Experience establishing a repeatable path to production for a growing artificial intelligence, engineering, or data team.
What the job really is

The Artificial Intelligence Engineer at CFGI will be responsible for designing, building, and operating artificial intelligence solutions in a production environment. This role involves managing the entire AI delivery lifecycle, from development through deployment and ongoing operations, ensuring solutions are reliable and meet client standards. The engineer will work closely with a team of data professionals and stakeholders to integrate AI into client systems, monitor performance, and maintain operational excellence.

Things to weigh
  • Role requires both building AI solutions and managing their production state, which may be demanding for some candidates.
  • No specific salary or benefits information is provided in the posting.
  • The role is hybrid with occasional travel, which may not suit everyone.
  • Work-authorization sponsorship may be available, but is subject to eligibility and approval requirements.
Job score3/5
Benefits1/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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