Overview
If you’re excited by the challenge of shaping the future of AI, the Foundry Agents team at Microsoft CoreAI offers you the chance to make a real impact. As part of the Azure AI Foundry Customization team, you’ll help build the cutting-edge platform that powers Azure’s innovation—and all of Microsoft’s flagship products, from GitHub and Microsoft 365 to Xbox. Our mission is simple but ambitious: to empower every AI application on the planet.
Here, you’ll work at the heart of a deeply technical environment, designing systems that enable AI to learn, improve, and scale in production. You’ll tackle some of the toughest industry challenges — making frontier models not just powerful, but also accessible, efficient, and cost-effective for enterprises everywhere. By developing pre-training, mid-training, and post-training solutions, you’ll help organizations build AI systems that continuously learn and adapt, using the models most relevant to their workloads.
This role gives you end-to-end ownership and exposure, from high-level APIs to granular reinforcement learning controls, and from Azure ML flexibility to deploying LoRA models and inferencing at scale. You’ll deliver services, pipelines, ML recipes, evaluations, and integrations—supported by Azure’s world-class data centers and GPU infrastructure. With innovations like single- click training data generation, dynamic model routing, and a global partner ecosystem, you’ll help close the loop between deployment and learning, unlocking massive improvements in cost, speed, and reliability.
Join us and you’ll have the opportunity to showcase your work on platforms like Microsoft Build and Microsoft Ignite, where we highlight breakthroughs in industry-leading innovation, like these (from June 2026):
Deploy. Observe. Learn. Reinforcement learning for production agents
Turn foundation models into production AI on Microsoft Foundry
Post-Training and Deploying Open Source Reasoning Models in Foundry
Smaller, faster, smarter: Distilling models with fine‑tuning
Microsoft Build opening keynote for all the exciting innovation @ Microsoft
If you’re ready to shape the future and make agentic AI economically viable for every enterprise, this is where your journey begins.
Responsibilities
Job Responsibilities
As a contributor in a customer-obsessed team, you will collaborate with data scientists and other developers on the team to create the necessary abstractions, infrastructure, interfaces and implement features to train, test, validate, scale and optimize for machine learning algorithms including but not limited to data cleaning, model training, hyper parameter tuning at massive, distributed scale. You will drive the incorporation of these customer-inspired innovations into our software. You will take holistic ownership of your features.
Your responsibilities will include:
Execute independently on complex, multi-dependency, medium-high ambiguity projects
Work closely with IDC & US team counterparts for design & code reviews, align priorities, and effectively collaborate with appropriate stakeholders
Collaborate with key stakeholders to comprehend and identify user requirements, scope solutions, estimate work, and schedule deliverables
Lead discussions on the design & architecture of products or solutions and apply engineering principles to establish robust and maintainable architecture
Manage and drive feature execution with high quality and great agility
Lead by example by producing extensible and maintainable code, adhering to best engineering practices, raising the quality bar, and improving the team’s response to customer incidents
Mentor and grow junior engineers
Qualifications
Required/Minimum Qualifications
Bachelor’s Degree in Computer Science, or Computer Engineering, or related field AND 8+ years related software engineering experience OR Master’s Degree in Computer Science, or Computer Engineering, or related field AND 5+ years related software engineering experience OR equivalent experience
Proficiency in programming languages & tools such as .Net, Java, Azure functions, Docker, Python
Experience delivering large scale, distributed, cloud based software services
Passion or inclination for machine learning, artificial intelligence, and data science
Ability to work collaboratively in a team and communicate complex concepts effectively
Preferred Qualifications
Proven track record of shipping and maintaining Microsoft Azure cloud services, preferably related to serving machine learning models
Experience with day-to-day AI agents and tool use
Proficiency in Agile development practices and Continuous Integration/Continuous Deployment (CI/CD)
Quick learner with a passion for solving complex and exciting problems.
Experience with AI/ML internals a big plus
Experience with Azure is a plus
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This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
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