Principal Applied AI Engineer

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end-to-end, simplified solutions.

• Design, develop, and deploy end-to-end AI/ML systems, including data ingestion, model training, evaluation, and integration into production environments.
• Build and optimize applications leveraging LLMs and open-source GenAI frameworks such as LangChain, LlamaIndex, Haystack, Transformers, AutoGen, and DSPy.
• Implement advanced GenAI techniques including agent-based orchestration, prompt engineering, retrieval-augmented generation (RAG), and model fine-tuning.
• Write production-grade software in Python and C# or Java, ensuring maintainability, scalability, and performance.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Ship and maintain large-scale AI applications, with a focus on performance monitoring and continuous improvement.
• Conduct rigorous evaluation of AI models using appropriate metrics and benchmarks.
• Optimize models for latency, throughput, and accuracy in real-world scenarios.
• Work closely with data scientists, product managers, and other engineers to drive AI initiatives.
• Stay current with the latest advancements in GenAI, LLMs, and AI frameworks.
• Prototype and experiment with emerging technologies to assess feasibility and impact.

• Bachelor's Degree in Computer Science, Data Science or related technical field
• Minimum 9+ Years of total Experience.
• 5+ years technical engineering experience with coding in languages including C#, Java AND Python
• Should have 5+ years in Data Science experience
• 3+ years of experience with LLMs and open-source GenAI frameworks, such as LangChain, LlamaIndex, Haystack, or equivalents (e.g., Transformers, AutoGen, DSPy), including agent-based orchestration, prompt engineering, retrieval-augmented generation (RAG), and fine-tuning and evaluation.

• Discounts on products and services
• Generous time away
• Giving programs
• Opportunities to network and connect

Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end-to-end, simplified solutions.