2 days ago
Base Salary
$143k - $304k/yr
Responsibilities
- Architect and build production agentic AI systems with LLM orchestration, multi-agent workflows, RAG pipelines, tool integrations, memory and state management, and human-in-the-loop experiences.
- Write, review, and maintain production C# and Python code, including critical components, prototypes, reference implementations, and reusable platform capabilities.
- Own end-to-end technical delivery from ambiguous customer-support scenarios and architecture through experimentation, implementation, deployment, operation, and improvement.
- Define architecture patterns, API and data contracts, code-quality standards, 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.
- Own production quality and reliability, diagnose complex issues, lead incident response and root-cause analysis, and engineer systemic improvements.
- Embed responsible AI, privacy, prompt-injection defenses, authorization, data boundaries, action controls, auditability, and fail-safe behavior into systems.
- Evaluate models, frameworks, platforms, and architectures using experiments and production telemetry while balancing quality, reliability, latency, cost, and complexity.
- Influence product and platform roadmaps with product managers, researchers, platform engineers, and Azure service teams.
- Instrument systems and improve automation accuracy, case-volume reduction, resolution time, engineering efficiency, and customer satisfaction.
- Lead architecture reviews, resolve technical disagreements, align partner organizations, and communicate with engineers, senior leaders, and non-technical stakeholders.
- Mentor engineers and raise organizational capability in system design, software engineering, applied AI, and evaluation-driven development.
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 meet Microsoft, customer, and/or government security-screening requirements, including the Microsoft Cloud Background Check.
- Preferred: 15 years of professional software engineering and enterprise architecture experience with complex enterprise-scale production systems.
- Preferred: master's degree and 8+ years of technical engineering experience, or bachelor's degree and 12+ years of technical engineering experience, or equivalent experience.
- Deep hands-on software development and enterprise architecture experience designing scalable, resilient, and maintainable systems.
- Proficiency in C# and/or Python and experience designing production-quality services and distributed systems.
- Experience with applied AI systems, including LLM applications, prompt engineering, RAG architectures, agent frameworks, or machine learning services.
- Experience with cloud platforms, preferably Azure, and cloud-native engineering practices including microservices, APIs, containers, CI/CD, infrastructure as code, and observability.
- Ability to influence technical direction and align multiple teams without direct management authority.
- 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 interactions across models, prompts, tools, data, and distributed services.
- Business acumen connecting technical investments to measurable customer outcomes, plus experience mentoring senior engineers and raising engineering standards.
- Background in customer-support engineering, supportability, diagnostics, or customer-experience platforms is a plus.
Benefits
- Certain roles may be eligible for benefits and other compensation.
- Applications are accepted on an ongoing basis until the position is 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.