SalaryPeak

Generative AI Engineer

KYNDRYL (SINGAPORE) PTE. LTD.
Singapore 5+ years Posted Jan 23, 2026

Salary Range

SGD 75,600 - SGD 144,000 /year

SGD 6,300 - SGD 12,000/month

Apply on MyCareersFuture

Skills Required

OutlookTensorFlowMachine LearningAzureLabelsISOUIKerasInternal ControlsPyTorchSharePointMetadataServiceNowAb TestingLinuxC++

Job Description

1. Solution Design & Development

  • Design, build, and deploy custom copilots and Copilot extensions (plugins, connectors, actions) using Copilot Studio and Graph connectors.
  • Engineer prompt flows, retrieval‑augmented generation (RAG), and grounding via SharePoint, Dataverse, Azure Cognitive Search, and Microsoft Graph.
  • Develop Copilot for M365 skills across Teams, Outlook, Word, Excel, PowerPoint, and Loop—optimizing grounding, context, and guardrails.
  • Create Power Automate integrations and Power Apps UI components to embed copilots into business processes.

2. Data & Integration Engineering

  • Implement data connectors and Graph APIs to securely surface enterprise content with appropriate access controls (AAD, Entra ID, Graph scope).
  • Build and optimize vector indexes/semantic search (Azure AI Search) for domain‑specific RAG patterns.
  • Integrate with LOB systems (e.g., SAP, Salesforce, ServiceNow) using connectors or custom APIs; manage schema, metadata, and content governance.

3. Safety, Security & Compliance

  • Apply Responsible AI and Trustworthy AI principles: content filtering, prompt safety, red‑teaming, and misuse prevention.
  • Enforce data residency, DLP, eDiscovery, retention labels, and Conditional Access for Copilot interactions.
  • Partner with Security/GRC to ensure solutions meet internal controls (e.g., ISO 27001/NIST) and organization‑specific policies.

4. MLOps & Operations

  • Establish DevOps/MLOps for Copilot assets: environments, source control, CI/CD, versioning, and telemetry.
  • Monitor quality, latency, tokens/costs, usage analytics, and feedback loops to iteratively improve prompts and RAG performance.
  • Implement A/B testing, prompt evaluations, and evaluation datasets for continuous improvement.

5. Stakeholder Enablement & Change

  • Run discovery workshops, translate use cases into Copilot capability maps and ROI hypotheses.
  • Produce documentation (solution designs, prompt handbooks, runbooks) and deliver enablement/training to business users.
  • Advise product teams on prompt patterns, hallucination mitigation, and governance.