Senior Consultant, Apps & AI

Overview

Microsoft is on a mission to empower every person and every organization on the planet to achieve more. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. You can help us to achieve our mission.

Industry Solutions helps Microsoft customers around the world get the best outcomes from their investments in the latest Microsoft cloud technologies. We focus on empowering customers on their digital journey, from envisioning new possibilities to delivering solutions that result in targeted business outcomes and a great customer experience.
Do you have a passion for creating large scale cloud solutions?  Are you interested in helping Microsoft customers create & deploy cutting-edge solutions in Microsoft Azure?

As a Senior Consultant you will be responsible for delivering high quality solutions and business outcomes based on Microsoft Azure. You will have the opportunity to help us create & deliver the next generation of Azure-based Solutions for our most strategic customers.  Our Consulting team offers a collaborative culture where you can contribute your knowledge & experience while learning together as we create cutting-edge cloud solutions for our customers.

Responsibilities

• Provide strong client-facing consulting, demonstrating communication, stakeholder management, problem-solving, and team leadership, while acting as a trusted advisor across pre-sales and delivery
• Assess business requirements and identify high-value AI-enabled application opportunities, translating them into scalable architectures, solution designs, and delivery roadmaps
• Design and build scalable, secure full-stack applications using modern frameworks and backend technologies (.NET, Java, Node.js, Python) with microservices and distributed systems
• Deliver AI-enabled applications using Azure OpenAI, Azure AI Services, and custom ML models, including agentic AI systems and optimized RAG architecturesArchitect cloud-native solutions on Azure, ensuring scalability, resilience, security, identity integration, and alignment with enterprise best practices
• Lead end-to-end delivery lifecycle (discovery → design → build → deploy → optimize), ensuring solutions are production-ready and aligned to business outcomes [opsiocloud.com]
• Implement DevOps and platform engineering practices, including CI/CD pipelines, Infrastructure-as-Code, DevSecOps, and developer productivity improvements
• Drive deployment and release management, including environment provisioning, automated deployments, and advanced rollout strategies (blue-green, canary, rolling) with post-deployment validation and optimization
• Establish operational excellence, including monitoring, observability, reliability (SRE), incident management, and transition to support teams
• Lead solutioning, pre-sales, and technical leadership, including architecture design, estimations, proposals, and ensuring measurable business value, scalability, and performance of AI and application solutions [devopsschool.com]

Qualifications

Need to have a deep technical background with 10+ years of technology-related experience in software/solution engineering, cloud computing, architecture and delivery leadership roles. Proven experience in leading delivery of complex, multi-disciplinary projects. Strong understanding of modern delivery methodologies (Agile, Scrum, DevOps, etc.).

• Excellent communication, stakeholder management, problem-solving, and team leadership skills. Relevant certifications are a plus. Require in depth expertise in the following functional areas.
• Full Stack Application Engineering: Design and build scalable, secure web and mobile applications using modern frontend frameworks and backend technologies (.NET, Java, Node.js, Python), with robust microservices and distributed systems across relational and NoSQL databases.
• AI‑Enabled Application Development: Deliver enterprise AI solutions with Azure OpenAI, Azure AI Services, and custom machine learning, including secure, advanced agentic AI systems and optimized RAG architectures.
• Cloud‑Native Architecture (Azure): Design scalable, secure Azure cloud-native architectures using managed services and best practices for computing, identity, security, and resilience.
• DevOps, Platform & Developer Productivity: Automate secure CI/CD pipelines, Infrastructure-as-Code, observability, productivity tools, and DevSecOps solutions for efficient, compliant cloud platform delivery in Azure DevOps and GitHub.
• Solutioning, Pre-Sales & Technical Leadership: Drive solution architecture, estimations, technical direction, and act as a trusted advisor in pre-sales and delivery.

We would also expect you to be able to pass the following Certifications in the first 6 months of employment with us, if you do not already hold them:

• AI-900: Azure AI Fundamentals
• AI-102: Azure AI Engineer Associate
• DP-100: Azure Data Scientist Associate

Additional Experience:

• A degree or equivalent work experience combined with relevant industry experience in a consulting role.
• Experience working on multi-phase global implementations is preferred.
• Fluency in written and spoken English.
• Ability to communicate with a variety of different audiences and strong presentation skills.
• Demonstrated ability to match technical solutions with customer business requirements.
• Ability to lead and motivate technical communities.
• Ability to effectively recognize and adapt to change.
• Ability to quickly build relationships and credibility with customers.
• A passion for learning about and experimenting with new technologies.
• Ability to build trust to drive changes with customers.
• Collaborate with customers to identify business requirements.
• Continually learn and grow professionally.Take a leadership role on projects.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

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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.