Consultant - Cloud Infra & AI

Overview Microsoft Industry Solution - Global Center for Innovation and Delivery (GCID) delivers end-to-end solutions by enabling accelerated adoption and productive use of Microsoft technologies. An organization of well over 1000+ exceptional people, MS GCID presents a great opportunity for highly skilled services professionals to make a foray into consulting, solution development and delivery roles. The ideal consultant is passionate about technology, has breadth rather than specific product depth, and has the drive and courage to articulate and stand up for a great solution delivering true value for the client. As a Microsoft consultant, you will deliver quality engagements with your expertise, either as an advisor, reviewer, contributor, or resource in high profile projects to ensure customer value. The ideal candidate must have the ability to combine their technical skills, creativity, and customer focus to deliver great solutions to the customers and ensure they get the best out of our technologies and solutions. Consulting Delivery professionals bring subject matter and solution expertise to architectural teams, customers, and partners. They apply deep technical and business knowledge to accelerate the adoption of Microsoft devices and services by ensuring strategic, architectural, and operational alignment to customer and partner Responsibilities As a full Stack Infrastructure Consultant, design, build, and optimize endtoend cloud and onpremises infrastructure solutions, ensuring secure, scalable, and highperforming environments across the entire technology stack. Responsible for technical quality assurance, identification, and mitigation of technical risk across customer or partner deliverables delivery technology strategy aligned solutions 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. 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. Identifies the 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. 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. Qualifications 4-10 years of industry experience with a minimum of 3+ years of Azure Infrastructure experience Bachelor’s degree in computer science, Engineering, or equivalent professional experience; advanced technical certifications or higher education preferred. Mandatory Microsoft Azure Administrator certification (AZ104); Azure Solutions Architect Expert (AZ305) highly preferred. Terraform Associate certification strongly valued, with proven experience in InfrastructureasCode (IaC) automation. Cloud AI certification such as Microsoft Azure AI Fundamentals (AI‑900) or equivalent is a strong advantage, with practical understanding of AI/ML workloads on cloud platforms. Experience across both application architecture and cloud infrastructure domains, with the ability to bridge development and operations teams effectively. AI First Infrastructure Skills Proficiency in Python for automation, AI integration, and scripting across infra workflows Experience with Azure AI Services (AI Foundry, AI Agent services, Azure AI Search, Vision, Speech, Translation,) leveraged as infrastructure components for applications Understanding of containerized AI workloads with strong hands-on expertise in AI Developer Tools from Microsoft- Visual Studio, GitHub Copilot, Azure AI Studio, Azure AI Foundry or similar third-party Ability to integrate OpenAI/Frontier models into cloud environments with secure and scalable infrastructure patterns (from applied AI delivery examples) Azure Cloud Strategy, Networking and Devops Cloud Strategy & Architecture Strong working knowledge of Microsoft’s Cloud Adoption Framework (CAF). Proven experience in designing, implementing, and deploying Azure Landing Zones. Landing Zone and Networking Hands-on experience with Azure IaaS and PaaS services across compute, storage, and networking. Expertise in deploying business mission-critical applications on Azure. In-depth knowledge of Azure networking components including VNet, ExpressRoute, vWAN, ingress/egress patterns, and Network Virtual Appliances (NVAs) DevOps & Automation Proficiency in Azure DevOps, including YAML-based pipeline configuration. Experience with at least one CI/CD platform: GitHub, GitLab, or Jenkins (working knowledge of others is a plus). Strong automation skills using ARM templates, Bicep, Terraform, PowerShell, and Azure CLI. Experience deploying infrastructure using a modular, reusable approach. Multi Cloud Migration & Modernization Multi-Cloud Migration experience. Hands-on experience in AWS or GCP to Azure migration. Experience with large-scale cloud migration projects using tools like Azure Migrate. Familiarity with all stages of the migration lifecycle, including assessment, planning, execution, and optimization. Experience with container migration and modernization initiatives. Infrastructure Security and Zero Trust Practices Strong command of network segmentation, NSGs, Azure Firewall, Private Link, VPN/ExpressRoute security, and Zero Trust networking. Implement secure connectivity and encrypted network flows across hybrid and cloud environments. Implement Azure Policy, Blueprints, governance guardrails, and secure by design patterns. Experience in meeting compliance standards and performing cloud security assessments. Deploy secure landing zones following CAF & WAF (Cloud Adoption Framework & Well‑Architected Framework) principles ensuring governance, resiliency, and secure adoption paths Ensuring alignment with industry frameworks like Zero Trust principles Consulting & Delivery Mindset Strong interest in continuous learning and technical certifications Curiosity to explore emerging data and AI technologies Willingness to receive feedback, grow technical depth, and expand ownership over time Demonstrated success in delivering customer-facing projects in large-scale enterprise environments Experience conducting technical workshops, envisioning sessions, and solution design engagements. Exposure to multiple industries and sectors, with the ability to tailor solutions to diverse business needs. Strong communication and presentation skills with the ability to engage both technical and non-technical stakeholders. Passion for mentoring, knowledge sharing, and continuous learning. Proven adaptability to new technologies and evolving customer requirements. Experience working in Agile/Scrum environments. Embody our culture and values This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. Insights from previous hires Top skills: Business, Automation, Analytics, Administration, Business Development, Architecture, Adoption, Communication, Banking, Analytical Skills Common previous titles: Digital Specialist, Senior Solution Architect, Solution Engineer, Cloud Solution Architect, Cloud Architect, Consultant, Tech Support Engineer, Senior Project Manager, Senior Product Manager