1 day ago
Hyderābād, IndiaSenior
Responsibilities
- Lead end-to-end architecture, development, deployment, and operation of complex software and AI solutions.
- Build production-grade copilots, autonomous agents, multi-agent workflows, and retrieval-augmented generation systems.
- Establish reusable architecture patterns, frameworks, APIs, and platform capabilities for AI adoption.
- Design secure integrations with enterprise applications, operational workflows, and structured and unstructured data sources.
- Create evaluation frameworks for accuracy, relevance, safety, latency, reliability, user experience, and cost-effectiveness.
- Implement observability for software, models, and agents, including monitoring for drift, failures, and quality degradation.
- Make architectural decisions involving model selection, orchestration, scalability, resiliency, and cost optimization.
- Apply responsible AI principles and address security, privacy, compliance, data governance, prompt injection, data leakage, hallucinations, and dependency-integration risks.
- Collaborate with cross-functional teams to resolve complex technical challenges and deliver measurable outcomes.
Requirements
- Bachelor’s degree in Computer Science or a related technical field and 7+ years of technical engineering experience with coding, or equivalent experience.
- Ability to meet Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud Background Check.
- Preferred bachelor’s degree in Computer Science, Engineering, Data Science, or a related discipline, or equivalent practical experience.
- 7+ years of professional software engineering experience.
- Advanced proficiency in one or more of C#, Python, Java, JavaScript, or TypeScript.
- Experience designing and operating distributed cloud services or enterprise-scale platforms.
- Understanding of system design, APIs, data architecture, resiliency, security, and observability.
- Practical experience building AI-enabled applications using LLMs, prompt engineering, embeddings, and agentic workflows.
- Familiarity with Azure OpenAI, Semantic Kernel, or AutoGen.
- Knowledge of AI evaluation, responsible-AI controls, and defense mechanisms.
- Experience influencing stakeholders and developing shared engineering frameworks, with demonstrated impact across multiple teams or business processes.
Tech Stack
Categories
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.