Senior Consultant - Full Stack AI Application Developer Job at Microsoft Corporation (Hyderabad)

Job Description

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.

Job Responsibility

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.
Follows the capacity process outlined by Resource, Insights, Capacity, and Capability (RICC) team. Maintains tools with up-to-date skills and availability.
Leads meetings with customers/partners to understand business needs. Uses business, industry, and technology strategies to map customer/partner requirements to the adoption and optimization of Microsoft technology solutions. Engages others appropriately to understand and define customer requirements.
Participates in project planning and develops project documents by identifying the risks and dependencies. Communicates the business value of planned solutions to customers/ partners. Identifies technical and business risks in programs and proposes mitigations. Assists project managers/architects in preparing for steering committee (e.g., developing artifacts). Manages their schedule and communicates with project leads. Generates and delivers Work Breakdown Structure (WBS).
Implements solutions and provides oversight and leadership on workstreams across domains while adhering to Industry Solutions processes. Aligns solutions with the intent of the architecture. Manages escalations, analyzes situations, and coordinates appropriate resources to resolve issues by following delivery practices, considering cost implications, and engaging in conversations with internal and external stakeholders (e.g., Customer Service and Support, Project Manager, Solution Architect, Product Group) as needed.
Proactively manages executive-level customer/partner/stakeholder relationships to identify and contribute to the drivers of satisfaction and dissatisfaction, determine the root cause, and establish recovery actions to improve the experience. Works with account team to ensure One Microsoft approach. Shares lessons learned with workgroup and consultant community.
Acts as an ambassador in the consumption of intellectual property (IP) by leveraging and/or modifying existing IP or creating repeatable content where applicable. Provides feedback on Managed IP for continuous improvement, reports IP gaps, reviews IP to be considered for harvesting and curation and ensures it is logged for consumption. Improves Industry Solutions offerings quality and collaborates with portfolio and solution teams by providing feedback.
Identifies opportunities to expand or accelerate the adoption and consumption of cloud and Microsoft technologies. Facilitates, as appropriate, other team members to scale the business with existing customers by articulating value propositions of strategic Microsoft products and services and developing new offerings for the domain. Drives innovation and digital transformation. Ensures the use of the existing intellectual property (IP).
Learns new technologies or services based on business demands and industry trends. Obtains relevant accreditations and certification(s) as advised by domain leadership team. Identifies certifications and readiness plans in partnership with World Wide Learning. Leads or participates in relevant technical communities and conducts training sessions to evangelize technology and/or offerings based on availability. Mentors team members and acts as a technical advisor for stakeholders by providing thought leadership, articulation of solutions value, and outcomes of business strategies.
Completes operational tasks and readiness and ensures timeliness and accuracy. Follows Microsoft policies, compliance, and procedures (e.g., Enterprise Services Authorization Policy, Standards of Business Conduct, labor logging, expenses, travel guidelines). Leads by example and guides team members on operational tasks, readiness, and compliance.
Embody our culture and values

Requirements

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.
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.
Hands‑on experience with multi‑threaded and parallel programming and high‑throughput service design.
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).
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.
Strong experience defining and implementing CI/CD pipelines, automated testing, and release strategies including Blue/Green and Canary deployments.
Deep experience with cloud monitoring and end‑to‑end telemetry, ensuring observability, reliability, and production readiness.
Strong expertise in security‑by‑design principles, including encryption, authentication and authorization (AuthN/AuthZ).
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.
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.

Nice to have

Customer Co-Innovation Mindset & Customer Enablement
Lead rapid prototyping, pilots, and early-stage production deployments for enterprise customers, accelerating time-to-value
Translate from whiteboard to production with minimal friction, engineering alongside customer teams to unblock delivery and adoption
Own troubleshooting across performance, reliability, cost, security, and data quality, delivering outcome-driven engineering in ambiguous, high-pressure environments

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Senior Consultant - Full Stack AI Application Developer

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