Technology Consultant - Cloud & AI Infra Job in Hyderabad at Microsoft

Microsoft is hiring for the role of Technology Consultant - Cloud & AI Infra!

Responsibilities of the Candidate:

• Collaborates with the customer/partner team of Chief Information Officers (CIOs), other C-level executives, and technical and business decision-makers to align customer vision with solutions. Manages risk and Services business goals within large engagements. 
• Responsible for technical quality assurance, identification, and mitigation of technical risk across customer or partner deliverables.  
• Applies technical experience and industry-specific knowledge to develop solutions, based on an analysis of how the proposed approach affects the business objectives of customers and partners. 
• Works to accelerate the value proposition of customer or partner engagements by helping to design, develop, and deploy solutions, based on Microsoft technologies and methodologies. 
• Applies information-compliance and assurance policies to ensure stakeholder confidence. 
• Identifies new processes and innovations to help customers or partners build and accelerate capabilities by using Microsoft technologies. 
• Defines dependencies and risks that go beyond the immediate scope and timeframe for a complex project. Develops contingency plans, risk-mitigation implementation criteria, and alternative strategies to manage short- and long-term risks. 
• Identifies a best practice approach for a project, across a wide scope of technical issues, and develops or reuses intellectual capital with customers, world-wide, and for programs and initiatives across Microsoft. 
• Works with practitioners to apply subject matter expertise and ensures that the solution architecture is both consistent and adoptable.  
• Contributes perspective and expertise to the development of customer solutions that increase the value proposition for Services. 
• Defines the technology strategy for large and complex engagements, so that customers or partners realize the full value of investment. Responsible for implementing the technology strategy.  
• Responsible for the overall efficacy and quality of a project team’s technical delivery within his or her engagements. 
• Defines engagements and opportunities to use Intellectual Property (IP) and address product gaps, while leveraging existing IP and community resources to ensure consistency and improve predictability. 
• Leads the Engineering team and provides accurate time estimates, sets work priorities, and makes project changes and trade-offs necessary for a successful release.  
• Drives new ways of thinking, across the division and subsidiary, to improve quality, engineering productivity, and responsiveness to feedback and changing priorities. 
• Trusted advisor and deep knowledge in implementation 
• Passion for customers, learning, having proven ability to be client focused, results-focused, proactive, collaborative and confident under pressure.

Requirements:

• Working knowledge of Cloud Adoption Framework (CAF) 
• Azure IaaS and PaaS in compute, storage and networking - experience of leveraging the same and designing, implementing, and deploying Business Mission Critical applications  
• Experience in leading Azure landing zone design and implementation 
• Knowledge on Networking - VNet, ExpressRoute, vWAN, Ingress/Egress patterns and services, NVAs. 
• Expertise in Azure DevOps and YAML configuration of pipeline 
• Experience on any one of - GitHub, GitLab, and Jenkins. General idea of others is fine 
• Automation experience using ARM templates/Bicep /Terraform/PowerShell/CLI with experience in deployment of infrastructure in module-based approach. 
• Experience in leading large scale cloud migration project teams using tools like Azure Migrate and implementation of Azure monitoring and security best practices is a plus 
• Proven hands-on project experience, preferable in large-scale customer environments 
• Have experience in multiple sectors and industries 
• Solid experience in leading and conducting customer workshops 
• Solid customer facing project experience involving solution design, project envisioning, planning, development and deployment of complex solutions 
• Knowledge of Cloud platform design principles 
• Demonstrated ability to adapt to new technologies and learn quickly  
• Passion for mentoring, training peers and sharing knowledge    
• Good communication skills and presentation skills  
• Experience in Agile/Scrum methodology 
• Experience in building autonomous agents using platforms such as Azure AI Foundry, Copilot Studio, or GitHub Copilot.
• Skilled in deploying AI solutions with openAI and semantic kernels on cloud services like Azure, AWS, or GCP.
• Knowledgeable about fairness, transparency, and bias mitigation in AI systems.
• Collaborate with stakeholders to identify AI opportunities and translate them into technical solutions.
• Experienced in leading workshops or training sessions on AI and agentic thinking.
• Ensure compliance with ethical AI standards and data governance policies