Role overview
Are you looking for an opportunity to solve business-critical problems for both Fortune 500 companies and startups globally, using cutting-edge AI and ML technology? Do you enjoy tackling technical challenges and producing innovative solutions to real-world problems? Then come join Microsoft’s AI Applied Engineering team. You will work alongside the industry’s best AI/ML engineering, data science, and product talent, engaging with some of the largest, most innovative customers and ISVs in the world.
Artificial Intelligence (AI) and AI applications are explosive growth areas in technology, transforming every business in every industry. In this golden age of AI, Microsoft is committed to bringing state-of-the-art technologies to customers in a responsible, secure, and scalable manner. Innovations in AI are helping enterprises fundamentally reshape their business, and Microsoft is a key player and market leader in this space.
The AI Applied Engineering team (part of Microsoft’s Core AI organization) has the mission to co-innovate customer solutions and improve Microsoft’s AI platforms by applying them to real-world customer scenarios. We build and infuse AI technologies into end-to-end solutions for strategic enterprise customers and ISVs. Using Azure AI services like Agentic frameworks, LLMs, Speech, Search and advanced techniques like model Fine Tuning and Evaluations along with Azure’s cloud infrastructure, we deliver AI-powered APIs, models, services and solutions that solve business-critical problems. Insights from these projects directly inform and enhance Microsoft’s core AI platform, making our products more robust and scalable for all customers. We’re moving at startup speed but with the resources of one of the world’s largest companies – it's the best of both worlds.
Responsibilities
- Build world class AI and ML solutions for our customers and partners involving GenAI, AI Agents, and fine-tuned, custom and off-the-shelf models. This role is for an experienced Applied Scientist who is passionate about building complete, highly performant, intelligent, AI models and solutions. The work requires ML DevOps experience and utilizing ML frameworks for evaluation, benchmarking, and testing of Agentic AI solutions.
- Drive the adoption of Agentic AI by developing AI solutions for top Microsoft customers. Leverage technical skills to design state-of-the-art solutions that address our customers' business needs, meet their technical requirements, and provide a high degree of reliability and safety
- Collaborate with other engineering teams, researchers, and Field engineers to help enterprise customers incorporate cutting-edge AI Foundry platform into their robust end-to-end systems. Drive learnings from customer engagements into improving AI Foundry platform and helping build solution accelerators. Play a critical role in identifying opportunities to innovate and differentiate AI Foundry, while maintaining our best-in-class safety standards.
- Excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike.
Basic qualifications
- Bachelor's Degree in Computer Science, Electrical or Computer Engineering, Statistics, or related field AND 2+ years related experience in AI/ML techniques and tools (e.g., LLM fine-tuning, prompt engineering, benchmarking and evaluations of models and agentic solutions, etc.).
Preferred qualifications
- Bachelor's Degree in Computer Science, Electrical or Computer Engineering, Statistics, or related field AND 5+ years related experience in AI/ML techniques and tools (e.g., LLM fine-tuning, prompt engineering, benchmarking and evaluations of models and agentic solutions, etc.)
- 2+ years of experience with software design and development using general purpose programming language (Python/Java/C# etc.) and knowledge of data pipelines.
- Experience with LLMs (Large Language Models), GPT (Generative Pre-trained Transformer) models, prompt engineering, and building Agentic Solutions
- Experience in dealing with ambiguity, and handling changes in customer requirements.