2 days ago
Base Salary
$143k - $304k/yr
Responsibilities
- Architect and build scalable production agentic AI systems, including LLM orchestration, multi-agent workflows, RAG pipelines, tool integrations, memory, state management, and human-in-the-loop experiences.
- Write, review, and maintain production-quality C# and Python code, including foundational components, reference implementations, prototypes, and reusable platform capabilities.
- Own end-to-end technical delivery from ambiguous customer-support scenarios and architecture through experimentation, implementation, deployment, operation, and continuous improvement.
- Define architecture patterns, API and data contracts, code-quality expectations, evaluation practices, deployment strategies, and observability standards for AI services.
- Design evaluation frameworks using rubrics, golden datasets, simulation, judge models, and offline and online evaluation, with quality thresholds for autonomous operation.
- Ensure production services meet standards for correctness, availability, latency, scalability, cost, and safety; diagnose incidents and lead root-cause analysis.
- Implement responsible-AI and agent-security controls, including prompt-injection defenses, privacy protections, authorization, data boundaries, action controls, auditability, and fail-safe behavior.
- Evaluate models, frameworks, platforms, and architectural approaches using experiments and production telemetry.
- Influence product and platform roadmaps with product managers, researchers, platform engineers, and Azure service teams.
- Lead architecture reviews, resolve technical disagreements, align partner organizations, and mentor engineers across teams.
Requirements
- Bachelor's degree in computer science or a related technical field and 6+ years of technical engineering experience with coding, or equivalent experience.
- Ability to pass Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud Background Check.
- Preferred qualifications include 15 years of professional software engineering and enterprise architecture experience with complex production systems at enterprise scale.
- Preferred qualifications include a master's degree with 8+ years of experience, or a bachelor's degree with 12+ years of experience, or equivalent experience.
- Proficiency in C# and/or Python and experience designing production-quality services and distributed systems.
- Experience with applied AI systems, LLM-based applications, prompt engineering, RAG architectures, agent frameworks, or machine learning services.
- Experience with cloud platforms, preferably Azure, and cloud-native engineering practices.
- Experience implementing agent-security patterns such as prompt-injection defense, identity propagation, least-privilege tool access, data-boundary enforcement, approval gates, and auditable actions.
- Ability to move between strategic architecture and detailed implementation while debugging complex interactions across models, prompts, tools, data, and distributed services.
- Ability to influence technical direction across teams without direct management authority and connect technical investments to measurable customer outcomes.
- Track record of mentoring senior engineers and raising engineering standards without formal people-management responsibilities.
- Background in customer support engineering, supportability, diagnostics, or customer-experience platforms is a plus.
Benefits
- The typical U.S. base pay range is USD $142,800-$274,800 per year, with a separate San Francisco Bay Area and New York City metropolitan area range of USD $188,000-$304,200 per year.
- Certain roles may be eligible for benefits and other compensation.
- The position will remain open for a minimum of five days and accepts 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.