The Chief Operating Officer (COO) organization at Microsoft is looking to transform the company through Artificial Intelligence (AI) and continuous improvement (CI). The Central Fraud and Abuse Risk (CFAR) team, specifically, needs to deliver resilient AI-first services that set industry standards by leveraging innovation, risk intelligence, security, compliance, AIOps, DevSecOps expertise, and data. They aim to build, buy, and integrate cloud technologies and datasets to create a flexible, scalable platform that enhances both automated and human decision-making, protecting users through technology.
Requirements
- 4+ years of experience building scalable, efficient, and reliable cloud services.
- 2+ years of experience with systems design, architecture, and writing unit tests and integration/ end to end tests
- Experience working with cloud computing platforms like Azure, AWS.
- Experience in container ecosystems, including Kubernetes, docker, service mesh etc.
- Understanding of code coverage, data structures, algorithms, multi-threaded, asynchronous programming patterns and solving complex problems, inclination for architecting at scale.
- Proficiency in Agile software delivery utilizing GitHub, Copilot and/or Azure DevOps Service.
- Deep understanding of LLMs, Agentic AI frameworks, and orchestration patterns for autonomous systems.
Responsibilities
- Build and ship scalable, Artificial Intelligence (AI)-native cloud applications and microservices using foundation models, Retrieval-Augmented Generation (RAG), and autonomous agents.
- Architect Agentic Artificial Intelligence (Agentic AI) systems with goal-driven behavior, multi-step reasoning, and tool-use capabilities.
- Integrate Model Context Protocol (MCP) servers to expose internal tools and Application Programming Interfaces (APIs) to Large Language Models (LLMs) via JavaScript Object Notation - Remote Procedure Call (JSON-RPC), enabling seamless agent interaction across platforms like Copilot Studio and Azure Artificial Intelligence Foundry (Azure AI Foundry).
- Artificial Intelligence for IT Operations (AIOps) for intelligent observability, anomaly detection, and auto-remediation across distributed systems.
- Build and ship the next generation of highly scalable, cloud-native applications and large-scale distributed microservices while mentoring other team members.
- Ensure the highest standards of security and quality in all aspects of our work, from design to deployment.
- Provide hands-on technical leadership: architecture, design, code reviews, development, Quality Assurance (QA), and live site support for mission-critical services to ensure high availability, scalability, and resiliency.
Other
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
- Mentor engineers in AI-first development.
- Collaborate with colleagues including product owners, User Experience (UX) designers, Artificial Intelligence/Machine Learning (AI/ML) Engineers/Researchers, data scientists, and other engineers to create delightful and meaningful experiences for our customers.
- Live Microsoft’s leadership principles and adopt growth mindset.
