Software Engineering IC4
Technology, Data & Digital · Software & Web Development · Software Engineering · Artificial Intelligence · Machine Learning
In short
Responsibilities
- Lead the design, development, and operation of complex software and AI solutions.
- Build production-grade copilots, autonomous agents, and multi-agent workflows.
- Create architecture patterns, frameworks, APIs, and platform capabilities for AI integration.
- Design secure integration with enterprise applications and data sources.
- Develop evaluation frameworks focusing on accuracy, relevance, safety, and reliability.
- Implement observability to monitor applications, models, and agents effectively.
- Drive architectural decisions for model selection, scalability, and optimization.
- Apply security, privacy, and compliance controls across the engineering lifecycle.
- Address risks like prompt injection, data leakage, and unsafe actions proactively.
- Resolve complex production incidents and technical issues efficiently.
Requirements
- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
- Ability to meet Microsoft, customer and/or government security screening requirements.
- Requires passing the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Desired Qualifications
- Advanced proficiency in one or more languages such as C#, Python, Java, JavaScript, or TypeScript.
- Experience designing, delivering, and operating distributed cloud services or enterprise-scale platforms.
- Proven experience building AI-enabled applications using LLMs, prompt engineering, embeddings, vector search, and RAG.
- Strong understanding of system design, distributed systems, APIs, resiliency, security, and observability.
- Practical experience with Azure OpenAI, Azure AI Foundry, Semantic Kernel, AutoGen, or similar AI platforms.
- Experience deploying enterprise-scale copilots, AI agents, RAG platforms, or multi-agent systems into production.
- Knowledge of AI evaluation, responsible-AI practices, content safety, and human-in-the-loop mechanisms.
- Familiarity with Azure technologies such as AKS, App Service, Cosmos DB, Event Hubs, or Azure Monitor.
- Expertise in Kubernetes, containers, IAC tools, private networking, and Zero Trust architecture.
- Strong background in MLOps, experimentation, and AI telemetry with model lifecycle expertise.
Benefits
- The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year.
- There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
- Certain roles may be eligible for benefits and other compensation.
- Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Skills
Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting…
Company
MicrosoftJob Posted
3 days ago
Employment Type
Full Time
Work mode
Hybrid
Salary
US$119,800–234,700 / year
Experience Level
Mid-Senior
Locations
United States
Qualification
Applicants
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