Technical Support Advisory - Azure AI & Governance

Microsoft Microsoft · Big Tech · Bucharest, Bucharest, Romania · Technical Support Advisory

This role provides technical support and readiness for frontline engineers and delivery partners working with Azure AI and governance. It focuses on ensuring engineers are technically prepared, processes are followed, and complex issues are resolved. The role also contributes to self-help resources and provides feedback for product and process improvements, acting as a subject matter expert within the Customer Service & Support organization.

What you'd actually do

  1. You will ensure timely case resolution by driving engineer readiness based on skills-gap analysis and product needs.
  2. You will perform case reviews and customer wellness checks; ensure process compliance and progression of cases to help solve increasingly complex technical issues.
  3. Mentor engineers to be more effective collaborators (cross-team and cross-technologies/lines of business).
  4. You will contribute to customer self-help and volume deflection initiatives through activities like input on top pain areas and producing troubleshooting guides/readiness content to help with volume deflection.
  5. Collaborate with stakeholder teams to provide product and process improvement feedback.

Skills

Required

  • Bachelor's Degree in Computer Science, Computer Engineering, Data Science, Information Technology (IT), or related technical field
  • 3+ years of technical customer-facing experience (solutions architecture, technical consulting, AI/ML implementation, or cloud engineering) OR 5+ years of technical customer-facing experience in AI, cloud platforms, or related technologies
  • Proficiency in Python for AI/ML applications, automation, or data processing
  • Hands-on experience with DevOps, MLOps, and/or GenAIOps practices and tooling
  • Solid understanding of cloud platform fundamentals (Azure and/or AWS) including networking, security, identity management, and containerization (Docker, Kubernetes)
  • Strong communication skills in English (written and verbal)
  • Demonstrated customer empathy and problem-solving mindset
  • Ability to balance business impact, technical constraints, and user trust
  • Ability to meet Microsoft, customer and / or government security screening requirements

Nice to have

  • Demonstrated passion for responsible AI, AI ethics, and the societal impact of artificial intelligence technologies.
  • Experience building or deploying generative AI solutions (LLMs, prompt engineering, RAG architectures, AI agents).
  • Hands-on experience with Azure AI services (Azure OpenAI, Microsoft Foundry, Cognitive Services) or equivalent cloud AI platforms.
  • Strong customer obsession mindset with proven ability to translate complex technical concepts into business value for diverse stakeholders.
  • Experience with AI governance frameworks, model monitoring, responsible AI practices, or compliance requirements.
  • Familiarity with infrastructure-as-code (Terraform, Bicep, ARM templates) and CI/CD pipelines for AI workloads.
  • Experience with data engineering fundamentals and understanding of AI model lifecycle management.
  • Microsoft Technology Certifications in AI, Azure, or related areas (e.g., Azure AI Engineer, Azure Solutions Architect).
  • Active participation in AI communities, open-source contributions, or personal AI projects demonstrating continuous learning.

What the JD emphasized

  • technical customer-facing experience
  • Proficiency in Python for AI/ML applications
  • Hands-on experience with DevOps, MLOps, and/or GenAIOps practices and tooling
  • Solid understanding of cloud platform fundamentals (Azure and/or AWS)
  • Strong communication skills in English
  • Demonstrated customer empathy and problem-solving mindset
  • Ability to meet Microsoft, customer and / or government security screening requirements