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As an AI Engineer on the CoreAI Platform team, you will apply artificial intelligence to solve real, production‑critical problems across Microsoft’s AI systems. You will use AI/ML models, statistical modeling, intelligent automation to detect anomalies, identify emerging patterns, and predict system behaviors before they impact customers. Your work will drive reliability, performance, and efficiency across AI model-serving pipelines which power experience such as Copilot and Azure OpenAI Foundry models. This is working at the intersection of C++ systems and AI model serving pipelines and your work will increase overall engineering velocity. We value engineers who think systemically, communicate clearly, and thrive in an ambiguous problem space.
Job Responsibility:
Design, build, and scale AI models to detect anomalies, identify regressions across large-scale AI systems
Analyze patterns in telemetry, logs, and real‑time signals to uncover root causes, predict failures, and drive proactive mitigations
Apply AI to identify emerging usage trends, performance hotspots, and workload irregularities that impact system health and user experience
Build lightweight automation that leverages anomaly detection signals and pattern analysis to improve live‑site reliability and engineering velocity
Contribute to hotfixes, performance tuning, and reliability improvements in production AI engines (e.g., GPU savings, SLA reliability, customer satisfaction)
Build intuitive, responsive UI components for AI dashboards and telemetry tools using React and modern web technologies
Communicate technical concepts with clarity and initiative, proactively seeking feedback and driving continuous improvement
Stay current with industry trends in applied AI, observability, and performance engineering
Requirements:
Bachelor's Degree in Computer Science or related technical field AND 2+ 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 are required for this role
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Nice to have:
Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
2+ years of experience in Python for AI automation
1+ year(s) of experience in AI to build solutions using toolchains and frameworks in Python, C++ and Kubernetes (K8s)
1+ year(s) of experience demonstrating a grasp of Large Language Model (LLM) post-training techniques, inference optimization, and application-layer use cases
Familiarity with embeddings, semantic search, or LLMbased analysis used for system intelligence or reasoning
Familiarity with agentic frameworks (LangChain, Autogen, DSPy)
Exposure to React or frontend observability dashboards is a plus
Persuasive communication and collaboration abilities
comfortable working in ambiguous, fast-moving environments