Overview

If you're excited by the challenge of shaping the future of AI, the AI Platform organization 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

(these are taken directly from Role Library)

Coding

- Leads by example across teams and mentors others to produce extensible, maintainable, well-tested, secure, and performant code used across products that adheres to design specifications. Leads efforts to continuously improve code performance, testability, maintainability, effectiveness, and cost, while learning about and accounting for relevant trade-offs. Identifies best practices and coding patterns (e.g., leveraging state-of-the-art generative artificial intelligence [GenAI], approaches to source code organization, naming conventions) and provides deep expertise in the coding and validation strategy. Creates and applies metrics to drive code quality and stability, appropriate coding patterns, and best practices. Identifies and anticipates blockers or unknowns during the development process, escalates them, communicates how they will impact timelines, and then leads efforts to identify and implement strategies and/or opportunities to address them.
- Leads efforts on using debugging tools, tests, logs, telemetry, and other methods,



and proactively leads verification of assumptions while developing code before issues occur across products in production. Leverages minimal telemetry data, triangulates issues, and resolves with minimal iterations. Leads incident retrospectives to identify root causes of problems, the implementation of repair actions, and the identification of mechanisms to prevent incident recurrence. Proactively applies least-access principles, uses logging, telemetry, and other appropriate mechanisms to investigate issues while retaining privacy and security, and drives those practices across the team.
- Reviews product code and test code to ensure it meets team standards, contains the correct test coverage, and is appropriate for the product or solution area. Brings insight to code reviews to help improve code quality, coaching and providing feedback to develop other engineers skills. Conducts code reviews in a timely fashion that helps accelerate the pace of development on the team. Considers diagnosability, reliability, testability, and maintainability when reviewing code, and understands when code is ready to be shared or delivered. Applies and reviews for coding patterns, security risks, compliance issues, and best practices in code reviews, providing feedback on code to drive adherence to best practices. Uses automated source code analysis tools that are incorporated into the build/development process.

Design

- Owns and leads efforts and discussions for the architecture of aspects of complex products/solutions (e.g., design, cost). Leads the testing and exploration of various design options across a set of complex product/solution scenarios, ensuring the strengths and weaknesses of each option are outlined and making recommendations for which design option is best. Creates proposals for architecture and design documents, and leads testing of hypotheses and proposed complex solutions. Shares and acts on findings from investigations, owns design decisions, and oversees the less experienced team members. Leads the development of design documents that support user stories and other product requirements. Evaluates new technologies to solve classes of problems, and determines how to integrate these technologies within existing systems. Leads design discussions with the team and shares findings/learnings from investigations, holding ownership for design decisions. Leads efforts to ensure system architecture and individual designs meet performance, scalability, resiliency, disaster recovery, cost of goods sold (COGS), and other requirements and expectations. Upholds Microsoft's standards of security, privacy, and other compliance requirements and expectations. Understands and coaches less experienced engineers on the importance of building solutions that expand upon the work of others. Leads the refinement of products through data analytics, and makes informed decisions in engineering products through data integration.



Reviews complex designs/architectures within and across teams to provide recommendations for improvements.
- Mentors others on and independently creates a clear test strategy that ensures solution quality, prevents regression from being introduced into existing code. Mentors others on and independently ensures test plans incorporate security testing to validate security invariants (including negative cases). Leads adding current tests to cover gaps, deleting or fixing broken tests, and improving the speed, reliability, and defect localization of the overall test suite. Mentors others on, and builds testable code and considers testability during design for a set of solutions. Understands the different types of tests that can be done on a particular system (e.g., unit tests), and maintains up-to-date understanding of testing architectures used both across Microsoft and across the industry, and applies them across the architecture as appropriate. Designs and executes plans for redesigning or rearchitecting difficult or untestable sections of code for a set of solutions. Leverages artificial intelligence (AI) tools for test automation.

Engineering Excellence

- Applies and identifies best practices and shares information with other engineers for building code based on well-established methods and secure design principles while also applying best practices for new code development and formal validation of security invariants. Leads product development and scaling to customer requirements and applies best practices for meeting scaling needs and performance expectations and security promises.
- Remains current by investing time and effort into being informed staying abreast of current developments. Proactively seeks new knowledge, evaluating new trends, technical solutions, and patterns, assessing how to adapt them to current problems, and shares knowledge with other engineers. Conducts learning and literary sessions to raise awareness on relevant engineering design principles (e.g., security, testability, performance, scalability, accessibility, product knowledge).

Qualifications

Preferred:

- 15+ years of experience writing production code in building internet scale services and distributed systems.
- Engineering knowledge of machine learning systems and data pipelines.
- Experience mentoring other developers, working partners and being a team player.
- Excellent communication and presentation skills

Required

- Ability to debug, read code and work in a large codebase.

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.

📌 Principal Software Engineer (Bengaluru)
🏢 Microsoft
📍 Bengaluru