Generative Ai Engineer

Kyndryl

South West, Singapore
On-site
Copilot studio and graph connectors
Retrieval-augmented generation (rag)
Microsoft graph and azure cognitive search
Kyndryl is seeking a Generative AI Engineer to design and implement AI solutions within the Microsoft ecosystem, focusing on custom copilots and integrations. The role requires a minimum of 5 years of experience in solution architecture, particularly with Azure and the Microsoft 365 suite, and emphasizes a growth mindset and customer-centric approach

Job Summary

  • At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses.
  • The role involves designing, building, and deploying custom copilots and Copilot extensions, engineering prompt flows, RAG, and grounding, and developing Copilot for M365 skills.
  • Kyndryl offers a dynamic, hybrid-friendly culture that supports well-being and empowers growth through skilling and certification programs.

Matching Summary

Match Score: 85

Kyndryl is seeking a Generative AI Engineer to design and implement AI solutions within the Microsoft ecosystem, focusing on custom copilots and integrations. The role requires a minimum of 5 years of experience in solution architecture, particularly with Azure and the Microsoft 365 suite, and emphasizes a growth mindset and customer-centric approach.

Skills & Requirements

Must-have

  • Copilot Studio and Graph connectors
  • Retrieval-Augmented Generation (RAG)
  • Microsoft Graph and Azure Cognitive Search
  • Responsible AI principles
  • DevOps/MLOps for AI workloads
  • Translate business needs to AI use cases

Nice-to-have

  • Growth mindset and customer focus
  • Inclusive and borderless work approach
  • Continuous learning and development

Key Requirements

  • 5+ years in solution architecture or enterprise application development (Microsoft ecosystem)
  • 3+ years hands-on AI/LLM solution design experience
  • Experience building secure integrations
  • Enterprise-grade security, governance, and compliance frameworks
  • DevOps/MLOps pipelines for AI/automation
  • Translate business needs into Copilot use cases
  • Strong communication and stakeholder skills

Work Rights

Not specified

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