Dirección Guidance (Text Only) Job Posting Content
Content for the Responsibilities and Qualifications section of the job posting should be leveraged from the Role Library found on HRWeb: HRweb - Role Library.
For guidance on how to create an impactful job description, reference the Job Posting Aid.
For roles in the EU or UK: Years' experience should not be included. Accessibility Guidance
- Use only the "Paste as Text" button in the text editor to transfer content, especially if using Microsoft Word, PPT, Outlook or OneNote Change the Font Family to Calibri - Do not use special characters
- Use only one sub-heading for each of the 3 sections - e.g.
- Responsibilities -> Key responsibilities
- Qualifications -> Skills required
- Only format content within the text editor (e.g. create bullets and bold styling using the associated buttons in the editor)
- Remove all blank characters at the end of a sentence by pressing Enter to end each line Follow these suggestions for what to avoid in your job advertisement:
- Do not mention unannounced products, technologies or project codenames.
- Do not discuss future product milestones or roadmaps.
- Do not mention executive names.
- Do not use a team name unless well known to external audiences.
- Do not discuss internal company goals or business strategies.
- Do not discredit current Microsoft products in market or use language with a negative connotation when describing Microsoft products or services.
- Do not use stats that may be newsworthy such as downloads, units, market share, sales, revenue, or other business metrics without first consulting your Public Relations team.
- Do not mention specific competitors.
- Absolute security, safety, and privacy do not exist. Therefore, do not make any statements that express or imply absolute security, safety, and privacy.
- Do not reference internal URLs, job levels, or terminology. Responsibilities (Text Only)- Accelerate new customer opportunities from Proof of Concept (PoC) to Production for Azure AI workloads such as Azure OpenAI, Azure Cognitive Search, and Azure Machine Learning.
- Provide customers with Generative AI expertise and advisory through architecture designs, proof of concepts, production reviews, and post-sales support.
- Expand and grow Azure AI adoption for existing customer base.
- Lead and provide guidance in technical escalations to unblock AI customers in collaboration with Microsoft stakeholders.
- Provide expert perspective to key stakeholders to increase platform adoption through customer insights & feedback on a regular basis.
- Drive product improvement and influence roadmap with Engineering through deep technical insights.
- Increase AI technical intensity in the field through upskilling, sharing best practices, and scaling repeatable IP.
- Other: Embody our culture and values. Qualifications (Text Only) Required/Minimum Qualifications
- Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 7+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
- OR equivalent experience. - 4+ years experience with enterprise-scale technical delivery experience with Azure AI Services including Azure OpenAI, Azure Cognitive Search, Azure Speech, Azure Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.
- 4+ years experience creating AI Proof of Concepts and Minimum Viable Products (MVPs) and supporting production deployments.
- Fluent in reading, writing and speaking English.
Additional or Preferred Qualifications
- Breadth of technical experience and knowledge (preferred):
- Application development skills - proficient with Python, Java, or similar programming languages in the context of application development, and ability to integrate Azure AI with other services; cloud application deployment experience with services such as Azure Functions, Kubernetes, Docker, API Management, and related
- Architecture Design - the ability to create and explain 3-tier architecture diagrams, system context diagrams, system interaction diagrams, etc.
- Experience in architecting deployments for production in an enterprise setting including infrastructure knowledge, security, networking, and other considerations. - 4+ years experience working on technical projects in a customer-facing role (e.g., internal and/or external)
- Ability to build relationships, orchestrate, lead, and influence virtual teams, ensuring successful acceleration and unblocking of customer projects
- Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications)
- Presentation and communication skills with a high degree of comfort with key audiences (Senior Executives, Management, Data Scientists, Engineers, etc.)
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
