The Role
Build and own distributed AI/ML infrastructure for Azure AI Foundry, including training, testing, validation, optimization, deployment, and model inference at scale. Design robust services, pipelines, APIs, ML recipes, evaluations, and integrations supporting data preparation, model training, hyperparameter tuning, reinforcement learning, and fine-tuning. Lead architecture and feature execution, collaborate across teams, improve reliability, and mentor early-career engineers.
Summary Generated by Built In
Overview
Responsibilities
Qualifications
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
- Coach and develop early-career engineers and team members.
Qualifications
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
#CoreAI #FoundryAgentsIDC
#CoreAIIndiaHiring
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.
Skills Required
- Bachelor’s degree in Computer Science, Computer Engineering, or a related field and 8+ years of related software engineering experience
- Master’s degree in Computer Science, Computer Engineering, or a related field and 5+ years of related software engineering experience
- Equivalent experience may substitute for the stated degree and experience combinations
- Proficiency in .NET, Java, Azure Functions, Docker, and Python
- Experience delivering large-scale, distributed, cloud-based software services
- Passion for or inclination toward machine learning, artificial intelligence, and data science
- Ability to collaborate effectively and communicate complex concepts
- Experience shipping and maintaining Microsoft Azure cloud services, preferably involving machine learning model serving
- Experience with AI agents and tool use
- Proficiency in Agile development and CI/CD practices
- Experience with AI/ML internals
- Experience with Azure
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
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The Company
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.
