Senior Consultant - (Dotnet Full stack + AI)

Overview Microsoft Industry Solutions – Global Center for Innovation and Delivery (GCID) delivers end‑to‑end, industry‑aligned solutions by accelerating the adoption of Microsoft technologies. With a global team of 1,000+ professionals, GCID offers experienced consultants the opportunity to deliver high‑impact, enterprise‑scale solutions.

As a Senior Consultant – Full Stack AI Application Developer, you will design and deliver modern, cloud‑native and AI‑powered applications that drive measurable business outcomes. You will contribute across the solution lifecycle—as an advisor, architect, and hands‑on engineer—on complex, high‑visibility customer engagements. The ideal candidate combines strong full‑stack engineering expertise with applied AI capabilities, deep knowledge of Cloud services, and a consulting mindset focused on customer value. You will ensure strategic, architectural, and operational alignment while advocating for scalable, secure, and well‑designed solutions.

Responsibilities

• Lead the technical delivery of complex, cloud‑native and AI‑enabled engagements, contributing as a hands‑on individual contributor and, where required, leading engineering teams to ensure high‑quality, predictable outcomes.
• Define and drive the technology strategy for large and complex customer engagements, ensuring solutions are scalable, secure, and aligned to business objectives, architectural best practices, and Microsoft reference architectures.
• Design, develop, and deploy solutions on Microsoft Azure, accelerating customer value through the effective use of Microsoft technologies, platforms, and delivery methodologies.
• Applies user‑centered design principles to translate customer needs into clear technical requirements and scalable solution designs through iterative prototyping and feedback.
• Provide delivery leadership by setting technical priorities, estimating effort, managing dependencies, making disciplined trade‑offs, and driving successful releases.
• Ensure engineering excellence and solution quality, with accountability for the overall efficacy, performance, security, and compliance of technical delivery within assigned engagements.
• Identify, assess, and manage technical risks and dependencies across projects, including defining mitigation strategies, handling escalations, and planning for both short‑ and long‑term delivery risks.
• Apply information security, compliance, and assurance standards to maintain stakeholder confidence and meet customer, regulatory, and Microsoft governance requirements.
• Drive innovation and digital transformation, leveraging existing intellectual property (IP), reusable assets, and best practices to improve delivery predictability and speed.
• Collaborate with cross‑functional teams, including Sales, account‑aligned teams, and peers, to articulate technical value propositions and support the expansion and adoption of Microsoft cloud and AI solutions with strategic customers.
• Contribute to thought leadership and continuous improvement, fostering new ways of working that enhance engineering productivity, solution quality, and responsiveness to evolving customer needs.

Qualifications

• 10+ years of overall professional experience in software engineering, application development, and solution delivery, with a strong focus on enterprise‑scale, customer‑facing engagements.
• 5+ years of experience in customer‑facing delivery leadership
• Bachelor’s degree in computer science engineering, or a related field. Advanced or higher‑education qualifications are a plus.
• Microsoft and cloud technology certifications are preferred, including but not limited to: AZ‑204 (Developing Solutions for Microsoft Azure), AI‑102 (Designing and Implementing an Azure AI Solution), MCSD / MCSE or equivalent modern cloud and AI certifications.

AREAS OF EXPERTISE

Full‑Stack Application Development

• Strong experience designing, building, and deploying business‑ and mission‑critical applications using .NET (C#), .NET Web APIs, Node.js.
• Full‑stack development expertise across UI, API, service, domain, data, and integration layers, with proficiency in C#, JavaScript, TypeScript, Angular or React, HTML5, and CSS/SCSS.
• Deep understanding of software architecture patterns and anti‑patterns for large‑scale systems, including MVC, CQRS, and Saga, with a focus on performance, scalability, and resiliency.
• Excellent foundation in software engineering principles, …