Senior Applied AI Engineer

• Design, build, and ship AI-powered software systems leveraging generative AI, LLMs, and agentic reasoning frameworks
• Develop and integrate autonomous AI agents capable of task decomposition, multi-step planning, memory, tool usage, and dynamic decision-making across enterprise workflows
• Apply state-of-the-art techniques including foundation models, prompt engineering, retrieval-augmented generation (RAG), multi-agent architectures, and classical machine learning where appropriate
• Fine-tune and adapt foundation models using domain-specific data, and evaluate model behavior across relevance, quality, hallucination, bias, latency, and cost
• Build rapid prototypes and translate them into production-grade systems, contributing to deployment, debugging, monitoring, and operational excellence
• Design and implement evaluation frameworks and automated evaluators, using offline experiments, shadow testing, online experimentation, and telemetry to measure impact and guide iteration
• Partner closely with product managers, researchers, and engineers to bring agentic capabilities into Microsoft’s business and productivity platforms
• Write high-quality, well-documented, and maintainable code, along with clear technical design specifications
• Mentor engineers and contribute to raising the overall engineering and applied AI bar across the team
• Apply Responsible AI principles throughout the development lifecycle, proactively identifying and mitigating risks related to fairness, bias, privacy, security, and misuse

• Bachelor's Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 4+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
• This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
• 8+ years of professional software development experience with at least one of the following: C#, C++, or Java
• 8+ years of professional experience building cloud applications, preferably full stack
• 3+ years of experience with GenAI, LLMs, or agentic systems
• Experience designing and implementing enterprise-scale services
• Experience delivering Dynamics 365 and/or Power Platform solutions is desirable
• Experience in agentic AI development and leveraging AI tools for development
• Verbal, written, and cross-team collaboration skills
• Team player and collaborator across time zones and diverse stakeholder groups
• Passion for improving software quality and engineering excellence
• Experience developing, debugging, and supporting code in object-oriented languages, as well as writing database queries
• Experience building infrastructure using Microsoft Azure technologies such as Service Fabric, App Service, and Docker

Experience delivering Dynamics 365 and/or Power Platform solutions is desirable