Senior Applied AI Scientist

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.

• 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
• Should have total 7+ years in Data Science experience
• 5+ years technical engineering experience with coding in languages including C#, Python, and PyTorch
• 5+ years of experience in shipping at least 2 large scale ML/AI-based services or applications on cloud platforms (Azure, AWS, GCP, etc.)
• 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.

• Industry leading healthcare
• Educational resources
• Discounts on products and services
• Savings and investments
• Maternity and paternity leave
• 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. The Purview AI Research team leads the charge in advancing artificial intelligence, conducting groundbreaking research across deep learning, NLP, LLMs, RL, and graph-based approaches.