12 hours ago
Base Salary
$120k - $261k/yr
Responsibilities
- Lead the 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.
- Create 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.
- Establish evaluation frameworks for accuracy, groundedness, relevance, safety, latency, reliability, user experience, and cost.
- Implement observability for applications, models, and agents, including drift, failures, anomalous behavior, and quality degradation.
- Make architectural decisions involving model selection, orchestration, retrieval, memory, caching, scalability, resiliency, and cost optimization.
- Apply responsible AI, security, privacy, compliance, accessibility, and data-governance requirements.
- Mitigate risks including prompt injection, data leakage, excessive permissions, hallucinations, unsafe actions, and model dependency.
- Lead technical investigations and resolve complex production incidents.
- Partner with product, data science, security, compliance, and business teams on executable technical strategies.
- Influence senior stakeholders, develop senior engineers, and improve engineering capability across the organization.
Requirements
- Bachelor’s degree in computer science or a related technical field and 4+ years of technical engineering experience with coding, or equivalent experience.
- Proficiency in one or more of C#, Python, Java, JavaScript, or TypeScript.
- Experience designing, delivering, and operating distributed cloud services or enterprise-scale platforms.
- Experience building AI-enabled applications using LLMs, prompt engineering, embeddings, vector search, RAG, and agentic workflows.
- Strong understanding of system design, distributed systems, APIs, data architecture, resiliency, security, performance, and observability.
- Experience with Azure OpenAI, Azure AI Foundry, Semantic Kernel, AutoGen, or comparable AI platforms and frameworks.
- Experience deploying enterprise copilots, AI agents, RAG platforms, or multi-agent systems into production.
- Knowledge of AI evaluation, red-team testing, responsible AI controls, content safety, prompt-injection defenses, and human-in-the-loop mechanisms.
- Experience with Azure AI Search, AKS, App Service, Functions, Cosmos DB, Microsoft Fabric, Event Hubs, or Azure Monitor.
- Experience with Kubernetes, containers, infrastructure as code, managed identities, private networking, and Zero Trust architecture.
- Familiarity with MLOps, LLMOps, model lifecycle management, experimentation, and AI telemetry.
- Experience with supply-chain, ERP, SAP, or other mission-critical enterprise platforms.
- Ability to create shared engineering frameworks and influence architecture across organizational boundaries.
- Ability to deliver measurable impact across multiple products, teams, or business processes.
- Ability to meet Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud background check.
Benefits
- The typical U.S. base pay range is USD $119,800–$234,700 per year, with a San Francisco Bay Area and New York City metropolitan area range of USD $160,200–$261,000 per year.
- Certain roles may be eligible for benefits and other compensation.
- The position will remain open for a minimum of 5 days and accept applications on an ongoing basis until filled.
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.