Senior Software Engineer, Foundry Agents - CoreAI

Overview Microsoft Foundry is building the foundational platforms that power the next generation of intelligent agents and generative AI systems. Within CoreAI, the Foundry Agents organization is responsible for key ownership areas across the end‑to‑end agent lifecycle: (a) Foundry Agents platform to deploy and run agents securely at enterprise scale with seamless integration with governed tools, (b) model fine‑tuning to train and improve agentic performance, and (c) Foundry observability to generate insights from agentic traces and continuously evaluate and optimize agents. As a Senior Software Engineer within Foundry Agents, you will build and evolve large‑scale, cloud‑native systems that span the full lifecycle of advanced agentic applications — from secure enterprise deployment and governed tool integration, to fine‑tuning and training workflows, to observability, evaluation, and optimization in production. Your work will directly contribute to how developers and enterprises build reliable, autonomous, and high‑impact AI agents. You will work at the intersection of distributed systems, AI infrastructure, and developer platforms, contributing to the design and implementation of systems that must meet high standards of performance, reliability, security, and compliance. This role requires strong technical skills, solid systems thinking, and the ability to translate product, engineering, and research needs into scalable platform capabilities. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. We bring that mission to life through a culture that values growth mindset, diverse perspectives, and continuous learning. Join us and help shape the future of AI‑powered software. Responsibilities Across the organization, you will: • Build and scale services that support secure agent deployment and execution, governed tool integration, training/fine‑tuning, and observability/evaluation • Design and implement distributed systems and cloud services to run agents reliably at enterprise scale • Improve developer and researcher workflows through better tooling, abstractions, and automation across fine‑tuning, evaluation, and optimization • Debug and optimize interactions across models, data, and infrastructure • Contribute to technical design and implementation across the software development lifecycle • Maintain high standards for code quality, testing, reliability, and operational excellence • Collaborate closely with partner teams across CoreAI and Azure to deliver production‑ready platform capabilities You will contribute to a strong engineering culture through thoughtful design discussions, code reviews, and collaboration across teams. You’ll have the opportunity to grow your technical scope while helping to build the platforms that enable intelligent agent systems at scale. Qualifications Required Qualifications: • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or PythonOR equivalent experience. Other Requirements: • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years Preferred Qualifications: • Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or PythonOR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or PythonOR equivalent experience. • 5+ years technical engineering experience designing and delivering highly available, large-scale cloud services and distributed systems. • 3+ years of technical engineering experience with machine learning or Artificial Intelligence (AI) systems Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay 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.