Overview

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. The Microsoft Security organization accelerates Microsoft's mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. The Purview team embraces the advancements in artificial intelligence, with groundbreaking research across deep learning, NLP, LLMs, RL, and graph-based approaches.

Our mission is to stay ahead of emerging technological trends and seamlessly embed transformative AI capabilities into our product ecosystem. We aim to deliver solutions that not only address current challenges but also pave the way for the future of Purview. We are seeking an Senior Applied Scientist/Engineer to join our dynamic team under the leadership of a Group Squad Leader. This role focuses on advancing AI-driven solutions that bridge cutting-edge research and practical applications, enabling impactful innovation across products and services. You will collaborate with multidisciplinary teams to design, prototype, and deploy AI models that solve complex real-world problems. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

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 GenAI frameworks
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.

Qualifications

Bachelor's degree in computer science, Data Science or related technical field
Minimum 7+ 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
Proficiency in writing production-quality software code in one or more modern programming languages (Python, C#)
3+ years experience developing software systems end-to-end, from design to implementation.
2+ years experience in shipping at least 2 large scale ML/AI-based services or applications on cloud platforms (Azure, AWS, GCP, etc.)

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.