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Microsoft

Builds workplace software, PCs and cloud services

Technology Consultant - Data & AI

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, Data Science, Information Technology, Business, or a related field and 6+ years of relevant technical consulting, architecture, engineering, Data & AI, or technology delivery experience, or equivalent experience.
  • Experience designing and delivering enterprise Data, Analytics, AI, Generative AI, or cloud solutions.
  • Hands-on experience with modern Data & AI architectures, including data engineering, analytics, lakehouse, retrieval-augmented generation, semantic/vector search, machine learning, and Generative AI.
  • Experience designing or developing AI agents and Agentic AI solutions, including tool/function calling, grounding, skills, workflows, orchestration, and evaluation.
  • Strong programming and engineering experience using Python and/or modern development languages, APIs, Git, CI/CD, and cloud-native development practices.
  • Experience taking technical solutions from architecture and prototype through secure, scalable production deployment.
  • Strong customer-facing consulting, problem-solving, communication, and stakeholder-management skills, with the ability to independently lead complex technical workstreams.

Responsibilities

  • Lead Data & AI solutions by architecting and delivering enterprise-scale Data, Generative AI, and Agentic AI solutions that address complex business and technology challenges.
  • Design and implement AI agents, multi-agent workflows, reusable skills, tool integrations, retrieval-augmented generation, grounding, and orchestration patterns.
  • Design and implement data engineering, analytics, lakehouse, search, knowledge, and AI architectures using Microsoft Azure, Microsoft Fabric, Azure AI, and related technologies.
  • Move solutions from prototype to production with appropriate security, Responsible AI, observability, evaluation, reliability, performance, and cost controls.
  • Use copilots, agents, automation, DevOps, MLOps, and GenAIOps practices to accelerate engineering and customer delivery.
  • Lead technical workshops, architecture discussions, design reviews, and co-development with customer architects and engineering teams.
  • Influence architecture and engineering decisions, solve complex technical challenges, mentor technical professionals, and establish engineering practices.
  • Develop reusable architectures, accelerators, agent skills, engineering patterns, and intellectual property that can be applied across customer engagements.

Desired Qualifications

  • 12+ years of relevant technology, consulting, architecture, engineering, Data & AI, or solution delivery experience.
  • Deep experience with modern cloud and Data & AI technologies such as Microsoft Azure, Microsoft Fabric, Azure AI, Azure OpenAI, Azure AI Search, and/or Databricks.
  • Experience delivering enterprise-scale Generative AI or Agentic AI solutions, including multi-agent architectures, enterprise knowledge solutions, or intelligent process automation.
  • Experience leading customer co-development and engineering engagements and influencing architecture and technology decisions.
  • Understanding of Responsible AI, AI security, identity, data governance, privacy, observability, and enterprise compliance.
  • Relevant technical certifications aligned to the solution area, such as Azure, Data, AI, Security, or cloud architecture certifications.
  • Delivery or engineering methodology certifications such as Agile, Scrum, DevOps, Change Management, or Project Management are advantageous.
  • Demonstrated ability to mentor technical professionals and create reusable reference architectures, accelerators, agent skills, and engineering patterns.

About the Company

Microsoft

Builds workplace software, PCs and cloud services

Microsoft builds workplace software, operating systems and cloud infrastructure for consumers, businesses and government agencies, from small organizations to global enterprises. Microsoft 365 combines Word and Excel with Teams communication and Copilot AI features, while Windows runs PCs and Surface supplies the company's own computers. Azure rents computing capacity, storage and databases to build and run web applications. Microsoft also sells Xbox consoles and games, collecting revenue through software licenses, subscriptions, usage charges and product sales. Founded in 1975 by Bill Gates and Paul Allen, Microsoft is headquartered in Redmond, Washington.

Company size
10,001+
Company stage
IPO
Headquarters
Redmond, WA
Founded
1975

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