AI Architect

Responsibilities (Text Only)

Architecture Design & Deployment - Lead enterprise-grade Azure cloud and AI platform design and implementation, focusing on scalability, security, performance, and cost optimization. - Apply structured methodologies (Agile, Waterfall, Iterative) and leverage reference architectures and design patterns. - Document architecture decisions, requirements, and constraints to ensure clarity and traceability. - Drive solution design with a business-value approach, emphasizing ROI and cost savings. - Collaborate with project managers to govern design, build, and deployment phases, ensuring quality through peer reviews and test plans. - Engage stakeholders to gather and validate requirements, resolve ambiguities, and manage risks. - Lead technical alignment across teams, resolve blockers, and adapt plans in complex scenarios. Practice Development - Create and improve intellectual property, identify scalable patterns, and promote reuse across engagements. - Contribute to internal and external communities to share best practices. Trusted Advisor - Build influential relationships with senior stakeholders and act as a strategic advisor. - Communicate complex concepts clearly and challenge decisions when needed to ensure optimal outcomes. - Advocate for Microsoft solutions by differentiating them from competitors and driving adoption. Thought Leadership - Lead virtual teams and share strategic insights across Microsoft. - Represent Microsoft at industry events and mentor junior colleagues. - Demonstrate deep industry knowledge and promote Microsoft’s capabilities externally.

Qualifications (Text Only)

Required / Minimum Qualifications - Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field AND 8+ years experience in technology consulting, solutions architecture, practice development, technical design, consulting, and / or technology domain (e.g., Security).o Azure Solution Architect Expert Certificationo OR equivalent experience. Additional or Preferred Qualifications - Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field AND 12+ years experience in technology solutions, practice development, architecture, consulting, and / or technology (cloud / AI platform, AI business solutions)o Azure Solutiono OR equivalent experience.

• 6+ years technical sales experience.
• 6+ years project management experience.
• Technical or Professional Certification in Architecture / Azure / Data / DevOps / AI (e.g., Databrick,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 requestvia 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. #J-18808-Ljbffr