Microsoft is a company where passionate innovators come to collaborate, envision what can be, and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.
The CoreAI organization at Microsoft builds the end-to-end AI stack and is core to Azure AI innovation and differentiation, as well as all of Microsoft’s flagship products, from GitHub, to Office, Teams, and Xbox. The coreAI team builds Responsible AI, Azure OpenAI, Model as a Service, Azure ML, Cognitive Services, and the global Azure AI infrastructure for running the largest AI workloads on the planet.
The Responsible AI group focuses on identifying, measuring, mitigating, and monitoring Responsible AI risks in AI-generated and human-generated content spanning text, image, audio, video, and multimodal content. We are looking for a Senior Software Engineer who is passionate about building customer-facing, high performance, low latency, and high availability AI services.
In this role, you will work with a unique group of talented engineers, scientists, and product managers to build the industry-leading Responsible AI services. You will build new AI services and integrate with existing services such as Azure AI Content Safety, Azure OpenAI Service, Azure AI Studio, and more
Responsibilities :
- AI-Native Development: Use AI tools responsibly and consistently across the SDLC, own the accuracy of AI-generated artifacts, and improve AI-enabled processes using engineering-health measures (Accelerate/SPACE/ESSP) through ongoing experimentation.
- Coding: Raise code quality through timely, high-signal reviews and strong engineering practices (secure/performance/testability/diagnosability), using automated analysis plus disciplined debugging/telemetry and retrospectives to prevent recurrence.
- Design: Own and evolve architecture/design for complex scenarios with clear test strategy and security testing, integrate dependencies across systems/teams, evaluate tradeoffs/options, and ensure solutions meet performance, scalability, resiliency/DR, COGS, and compliance requirements.
- Engineering Excellence: Drive engineering best practices and automation (toward zero-touch), strengthen security/privacy/accessibility compliance with auditable evidence, build/extend developer tools, stay current on trends, and operationalize “security as code” with gates/scanners/monitoring.
- Implement: Plan and deliver through roadmaps and capacity-aware execution with flighting/experimentation and success + guardrail metrics, while using safe deployment practices, secure rollouts, dependency hygiene, and well-defined rollback strategies.
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- Reliability and Supportability: Improve reliability via comprehensive telemetry/instrumentation and privacy-aware monitoring outputs, lead as DRI/on-call using playbooks and SLA discipline, reduce incident volume with systemic fixes and postmortems, and continuously strengthen TSGs/wikis/tests/observability.
- Understand User Requirements: Partner with internal/external stakeholders to validate user requirements (including security/privacy), incorporate customer insights and unwritten needs, and define measurable feedback loops across quantitative and qualitative value signals.
Qualifications
Required Qualifications and Skills
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- 6+ years of professional software engineering experience, with strong hands‑on development in one or more programming languages such as C#, Python.
- Strong expertise in software design and development, including system architecture, data structures, algorithms, and designing scalable, reliable, and secure services.
- Proven experience owning and delivering complex features or services end‑to‑end, from design through implementation, testing, deployment, and operational support.
- Solid understanding of cloud‑based and distributed systems, including reliability, performance optimization, telemetry, diagnostics, and live site support considerations.
- Ability to influence technical direction and mentor others, demonstrated through design leadership, code reviews, and collaboration across teams.
- Experience applying secure coding practices and compliance requirements, ensuring solutions meet Microsoft’s security, privacy, and engineering quality standards.
- Communicating to Drive Mutual Success: Articulating messaging in a clear and respectful manner to achieve collaborative and mutually beneficial outcomes while ensuring all parties are heard, understood, and aligned towards shared goals.
- Designing and Architecting Business Solutions: Designing and architecting products, services, and systems by employing design principles across diverse technological solutions and guiding projects through each phase of the engineering lifecycle to ensure alignment with business goals and customer satisfaction.
- Driving Solution Improvement and Excellence: Leading the validation of innovative products, services, and solutions through pinpointing opportunities for improvement, monitoring and testing systems, and fostering strategic solutions to identified challenges or issues.
- Engineering Robust Software Solutions: Employing computer science principles to design, develop, and optimize scalable algorithms, distributed systems, business applications, and other software solutions.
- Enhancing Product and Project Execution: Streamlining project lifecycles through the integration of project and product planning and quality assurance methods to ensure all phases of a project are planned, assessed, and aligned with strategic goals and to optimize performance and project outcomes.
- Solving Problems Through a Data-Driven Approach: Extracting actionable insights to understand their implications within the broader organizational context; solving problems and making decisions through a swift, informed, and strategic approach.
Preferred qualification:
- 8+ years of technical engineering experience with coding in languages such as C#, Python when holding a Bachelor’s degree, or 6+ years with a Master’s degree, demonstrating strong depth in software engineering.
- Advanced technical judgment and architectural capability, including ability to design, optimize, debug, refactor, and guide engineering decisions across features, systems, or services.
- Demonstrated leadership and collaboration skills, such as mentoring peers, influencing cross‑team architecture, and serving as a DRI to ensure reliability, performance, and operational excellence.
- Good exposure to AI platforms, large language models (LLMs), and core machine‑learning concepts, with the ability to apply these in designing scalable, secure, and intelligent engineering solutions.
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 thereafter.
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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.
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.
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