Microsoft Senior Applied AI Engineer 

United States, Washington 

477694544

Extract Transform Load)processes, data enrichment, schema normalization, and transformation. Collaborating with a team of world-class researchers, you will develop novel methods, tools, and frameworks, including advanced autonomous AI services, AI skills for our Security Copilot, new GenAI models tuned for our cloud environments, and agent-based systems for GenAI-based security experiences. Additionally, you will work with internal and external partners to apply your work to real-world scenarios and challenges, ultimately helping secure the digital estates of our customers.

Required Qualifications :

• Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ year(s) technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.

Other RequirementsAbility to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

• This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Large-Scale Machine Learning (ML)/AI Services: Experience in shipping at least one large-scale ML/AI-based service or application, preferably in the security domain on cloud platforms such as Azure, AWS, or GCP.
• Cloud ML and SaaS Engineering: Extensive experience in developing and deploying machine learning solutions on cloud platforms, with a understanding of SaaS engineering principles.
• Machine Learning Frameworks: Proficiency in Python, PyTorch, TensorFlow, or similar machine learning frameworks.
• Large Language Models (LLMs) and GenAI: Hands-on experience with LLMs (e.g., OpenAI) and open-source GenAI (agent-based) frameworks.
• Relevant Technologies: Experience in any of these is a plus: Apache Spark, Graph Databases, Vector Databases, Python, C#, Azure and/or AWS APIs and Services Data
• Transformation and Enrichment: background in designing and implementing ETL processes, data enrichment, schema normalization, and transformation.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• AI Development and Automation: Collaborate with applied research and product teams to develop advanced AI services and automation tools aimed at reducing security risks. Your work will accelerate detection, containment, investigation, and remediation processes.
• AI-Driven ETL and Data Enrichment: Develop and implement AI-driven ETL processes, focusing on data enrichment, schema normalization, and transformation to ensure high-quality and contextually accurate data for security applications. Experimentation and Observation: Participate in the development of our AI experimentation and observation platform, driving continuous improvement of AI models and user experiences through iterative experimentation and feedback loops.
• Cross-Functional Collaboration: Work closely with senior technical staff from Copilot for Security and other Microsoft Security products to integrate and enhance security solutions, ensuring that AI-driven processes are effectively utilized.
• Technical Design and Innovation: Develop comprehensive technical designs and architectures to transition research innovations into practical, shipping products. This includes creating novel methods, tools, and frameworks for AI-centric security scenarios.
• Leadership and Collaboration: Foster leadership and collaboration across research and product teams, breaking down silos and driving collective success. Engage with internal and external partners to apply research findings to real-world security challenges.

Other

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