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Cloud Solution Architecture IC5

Microsoft · Posted Oct 14

Software, cloud computing, artificial intelligence, and hardware services

India, Karnataka, BangaloreFull-timeOnsiteSenior Level4+ years₹40.0L–₹75.0L yearly98 applicants
SoftwareCloud ComputingArtificial IntelligenceConsumer ElectronicsInformation TechnologyPublic Company
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About the role

The Customer Experience and Success (CE&S) organization is responsible for all-up services across Microsoft, including consulting, customer success, and support across Microsoft's portfolio of solutions and products. The Technical Success team within the AI Apps & Agents focus area is hiring a hands-on Cloud Solution Architect to work directly with customers across design, build, and production on AI application solutions built on Microsoft's Azure AI platform. This senior individual contributor role focuses on resolving customer production blockers, architecting AI roadmaps and MVPs, building repeatable IP, and feeding field insights back into Microsoft engineering.

What you will do

  • Understand customers' AI transformation business priorities and success measures.
  • Innovate with AI Application solutions that drive business value.
  • Ensure Solution Excellence: Deliver solutions with high performance, security, scalability, maintainability, repeatability, reusability, and reliability upon deployment. Gather insights from customers and partners.
  • Drive Consumption Growth: Develop opportunities to enhance Customer Success and help customers extract value from their Microsoft investments. Curate and produce high quality guidance for our internal and external communities and customers.
  • Unblock Customer Challenges: Leverage subject matter expertise to identify resolutions for customer blockers. Follow best practices and utilize repeatable IP.
  • Build repeatable IP and assets that create velocity in deployment and drive customer value from their Unified investment. Continuously look to improve upon these assets utilizing the best of field inputs.
  • Architect AI Applications & Solutions: Apply technical knowledge to design solutions aligned with business and IT needs. Create Innovate with AI roadmaps, lead POCs and MVPs, and ensure long-term technical viability.
  • Advocate for Customers: Share insights and best practices, collaborate with the Engineering team to address key blockers, and influence product improvements, roadmap and feature prioritization.
  • Continuous Learning: Stay updated on market trends, collaborate with the AI technical community, and educate customers about the Azure AI platform.
  • Accelerate Outcomes: Through engaging with field teams, share expertise, contribute to IP creation, and promote reusability to accelerate customer success, as well as collate feedback on assets to drive improvement and leverage field teams inputs.

Skills used in this role

AzurePythonC#RJavaScriptAzure FunctionsKubernetesDockerAzure API ManagementAWSGCPTensorFlowPyTorchJupyterVS CodeAzure Cognitive ServicesAzure OpenAICopilotCI/CDDevOpsMLOpsLLMsGenerative AIPrompt EngineeringGPU

What the employer is looking for

  • Bachelor's degree in computer science, Information Technology, Engineering, Business or related field AND 4+ 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 Business Applications consulting OR equivalent experience.
  • Ability to meet Microsoft, customer and / or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire / transfer and every two years thereafter.

Preferred qualifications

  • Business Value: The ability to convey the business needs and value of proposed solutions, plans, and risks to stakeholders and decision makers. This includes the ability to persuade and inform based on facts and alignment with goals and strategy.
  • Trusted Advisership: The ability to build trusted advisor status and deep relationships across stakeholders (e.g., technical decision makers, business decision makers) through an understanding of customer needs and technologies.
  • Situational fluency: Using self-awareness as a mechanism to interpret verbal and non-verbal cues to increase your ability to "read the room."
  • Insightful listening: asking insightful questions to understand the customer needs, issues, business environment and drivers, and going beyond what customer has said.
  • Breadth of technical experience and knowledge in foundational security, foundational AI, architecture design, with depth / Subject Matter Expertise in one or more of the following:
  • Deep Domain Expertise in Azure AI Areas: Deep domain expertise in one of the Azure AI specific areas, such as Cognitive Services, Machine Learning, Azure OpenAI and CoPilot OR hands-on experience working with the respective products at the expert level.
  • Programming Languages and Integration: Proficient with Python, C#, R, JavaScript, or similar programming languages in the context of application development, and ability to integrate Azure AI with other services (e.g., Azure Functions, Kubernetes, Docker, API Management).
  • Architecting Enterprise-Grade Solutions: Proven experience building enterprise-grade, AI-focused solutions on the cloud (Azure, AWS, GCP) for customers, from Minimum Viable Products (MVPs) leading to production deployments.
  • DevOps and MLOps: Strong understanding of DevOps practices and CI/CD tool chains, and familiarity with MLOps (AI & ML lifecycle management) for sustainable enterprise grade deployments.
  • Core AI & ML Concepts: Familiarity with AI & ML foundational knowledge of concepts like Prompt Engineering, compute systems (GPU & FPGA), popular frameworks (TensorFlow & PyTorch), and tools (Jupyter notebooks & VS Code).
  • Generative AI and Responsible AI: Knowledge of current and emerging AI technology, including Generative AI technology applications and use cases (including, but not limited to, LLMs) and Foundational models toolsets. Understanding of Responsible AI practice including ethical considerations, bias mitigation, and fairness.
  • Competitive Landscape: Understanding the competitive landscape is valuable, candidates should be aware of key AI platforms beyond Azure, such as AWS and GCP. Knowledge of the AI open-source ecosystem

Benefits and support

  • Compensation and benefits are detailed in the job posting

About Microsoft

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Microsoft

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Microsoft Corporation is a multinational technology company that develops, licenses, and supports a wide range of software products, services, and hardware devices. Best known for its Windows operating systems, Microsoft 365 productivity suite, and Xbox gaming consoles, the company has expanded heavily into enterprise cloud computing via Azure and advanced artificial intelligence solutions. As one of the world's most valuable public enterprises, it empowers individuals and businesses globally through innovative digital transformation.

Industry
Software
Company size
228,000+ employees
Founded
April 4, 1975
Location
Redmond, Washington, USA
Funding stage
Public Company

Leadership

SN
Satya Nadella

Chairman and Chief Executive Officer

AH
Amy Hood

Chief Financial Officer

BS
Brad Smith

Vice Chair and President

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