Join Microsoft Industry Solutions as a Senior Consultant, focusing on Cloud Infrastructure and AI. You will be instrumental in delivering end-to-end solutions, accelerating the adoption of Microsoft technologies, and driving customer value. We seek passionate technology experts with a broad understanding of solutions and the courage to champion innovative approaches that deliver tangible client benefits.

As a Senior Consultant, your expertise will shape and guide high-profile projects, ensuring customers maximize their potential with our technologies. You'll combine technical acumen with creativity and a customer-centric mindset to craft exceptional solutions, bridging the gap between advanced technical and business objectives.

Design, build, and optimize comprehensive cloud and on-premises infrastructure solutions, ensuring secure, scalable, and high-performing environments across the full technology stack. You will be responsible for ensuring technical quality and mitigating risks within customer deliverables, aligning technology strategy with business objectives.

Develop tailored solutions based on deep technical and industry knowledge, analyzing their impact on customer and partner business goals. Ensure stakeholder confidence through robust information compliance and assurance policies. Drive innovation by identifying new processes and Microsoft technologies to accelerate customer capabilities. Define best practices, develop reusable intellectual capital, and address product gaps while leveraging existing resources.

We are looking for professionals with 9-13 years of industry experience, including a minimum of 9 years in Azure Infrastructure. A Bachelor's degree in Computer Science, Engineering, or equivalent professional experience is required; advanced technical certifications are highly valued. Mandatory certifications include Microsoft Azure Administrator (AZ104), with AZ305 highly preferred. Terraform Associate certification and proven IaC automation experience are strongly considered. Familiarity with Cloud AI certifications like AI-900 and practical understanding of AI/ML workloads are a significant advantage.

Proficiency in Python for automation and AI integration is essential, alongside experience with Azure AI Services and containerized AI workloads. You should possess strong hands-on expertise with Microsoft's AI Developer Tools and be able to integrate OpenAI/Frontier models securely. Expertise in Azure Cloud Strategy, Networking, DevOps, Azure Landing Zones, and multi-cloud migration is crucial. A solid understanding of Infrastructure Security, Zero Trust practices, and consulting methodologies, including Agile/Scrum, is expected. Demonstrated success in delivering customer-facing projects and strong communication skills are key.