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Microsoft

Builds workplace software, PCs and cloud services

Technical Support Engineer - Azure AI

Customer SupportConfirmed live in the last 24 hours
Full-timeLisbon, Portugal€43.3k - €74.3k /yrIn-person

About the Job

Requirements

  • Experience troubleshooting production AI/ML solutions in technical support, AI Engineering, consulting, or a customer-facing role.
  • Hands-on experience with Azure AI Foundry or comparable platforms such as AWS Bedrock/SageMaker, Google Vertex AI, or other enterprise AI platforms.
  • Understanding of foundation models, prompt engineering, retrieval-augmented generation (RAG), embeddings, vector search, tool calling, and agentic workflows.
  • Ability to troubleshoot model deployment, authentication, networking, data integration, content safety, latency, quotas, and performance.
  • Experience with machine learning, inference endpoints, model evaluation, monitoring, and responsible AI.
  • Proficiency in Python or another scripting language, REST APIs, SDKs, SQL or Kusto, and log analysis.
  • Knowledge of cloud security, identities, access controls, private networking, firewalls, and API integration.
  • Strong problem-solving, customer communication, prioritization, and collaboration skills.
  • A degree in a relevant technical field or equivalent practical experience.
  • Confident English reading, writing, and speaking ability.
  • Fluent Portuguese or Spanish reading, writing, and speaking ability.
  • Ability to meet Microsoft, customer, and/or government security screening requirements, including passing the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.

Responsibilities

  • Own, investigate, and solve complex customer technical issues and act as an advisor to the customer, collaborating within and across teams while leveraging troubleshooting tools and practices.
  • Lead in building communities with peer delivery roles and share knowledge through readiness programs, technical coaching, and mentoring of others.
  • Deepen technical and professional proficiency through training and readiness to resolve complex customer issues.
  • Engage with Microsoft Engineering and Supportability teams to investigate potential product defects and help develop automation techniques and diagnostic tools, driving Microsoft product improvements.

Desired Qualifications

  • Experience with Azure OpenAI, Azure AI services, Azure Machine Learning, or equivalent services from other vendors.
  • Experience supporting RAG applications, AI agents, orchestration frameworks, or multi-agent workflows.
  • Familiarity with LangChain, Semantic Kernel, AutoGen, Model Context Protocol, or similar technologies.
  • Experience with MLOps or LLMOps, including deployment, versioning, evaluation, monitoring, observability, and lifecycle management.
  • Knowledge of AI safety, prompt-injection protection, reliability, and cost optimization.
  • Familiarity with Docker, Kubernetes, serverless applications, API management, and CI/CD.
  • Comparable experience with AI technologies, cloud providers, open-source frameworks, or enterprise platforms is welcomed and considered equivalent where applicable.

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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