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.
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.
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.
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, data structures, algorithms, testing, debugging, and analytical problem‑solving.
Proficiency with cloud data platforms including Azure SQL, Cosmos DB, Azure Database for PostgreSQL, MySQL, Azure SQL Managed Instance, and MariaDB.
Experience creating reusable application frameworks and shared components that address cross‑cutting concerns such as logging, security, resiliency, and configuration management.
AI Application Development & Generative AI
Strong hands‑on experience, preferably with Azure AI Foundry, Azure AI Search, Cognitive Search, Vector Search, and Retrieval‑Augmented Generation (RAG) patterns.
Proven expertise in building enterprise‑grade LLM and agentic AI solutions using Semantic Kernel, LangChain, LangGraph, AutoGen, and developer copilots such as GitHub Copilot and Cursor.
Practical experience in prompt engineering, prompt optimization, evaluation frameworks, and reliability tuning to deliver safe, high‑quality AI outputs.
Advanced Python expertise in implementing RAG pipelines, vector workflows, agent orchestration, and AI evaluation frameworks.
Strong understanding and application of Responsible AI principles, including safety, fairness, transparency, and governance (mandatory).
Cloud Architecture, Platforms & DevOps
Extensive experience in designing, implementing, operating, tuning, and troubleshooting large‑scale cloud solutions on Microsoft Azure or any public cloud.
Hands‑on expertise implementing microservices and serverless architectures using Kubernetes, Azure Functions, Service Fabric, and related platforms.
Deep experience with cloud monitoring and end‑to‑end telemetry, ensuring observability, reliability, and production readiness.
Security, Compliance & Zero Trust
Deep knowledge of Zero Trust architecture, IAM, secure‑by‑default design, threat modeling, compliance standards, and DevSecOps practices.
Hands‑on experience with least‑privilege access, assume‑breach concepts, micro‑segmentation, continuous monitoring, SAST/DAST, and secure CI/CD pipelines.
Familiarity with security and monitoring tools such as Microsoft Defender for Cloud, Microsoft Threat Modeling Tool, Azure Sentinel, and Splunk.
Consulting, Transformation & Industry Experience
Proven experience delivering large‑scale digital transformation initiatives, including cloud migration and hybrid modernization programs. Brings architectural breadth through exposure to open‑source technologies and platforms. Has good exposure to Azure/AWS/GCP, along with industry experience across domains such as financial services, government, healthcare, manufacturing, and retail/supply chain.
Customer Co-Innovation Mindset & Customer Enablement
Lead rapid prototyping, pilots, and early-stage production deployments for enterprise customers, accelerating time-to-value
Own troubleshooting across performance, reliability, cost, security, and data quality, delivering outcome-driven engineering in ambiguous, high-pressure environments
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.
