Overview

Responsibilities

We are looking for a Principal Software Engineer who will technically lead multiple teams and partner with Windows and services teams across the globe to build, use and deploy various cutting-edge technologies in this space.

Primary Responsibilities:

• Lead teams of high-caliber Software Engineers, ensuring project and development excellence and technical leadership.
• Influence and align the product vision by collaborating with customers, partners, product management, and engineering teams.
• Drive the adoption and practical application of AI across both product features and engineering productivity.
• Deliver high quality results with full ownership and take the product to the next level.
• Foster a solid culture of engineering excellence, customer focus, collaboration, and diversity and inclusion.
• Hire and develop the best.

Qualifications

Required Qualifications:

• 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 Python.
• Master’s Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. 
  • OR equivalent experience.
• 6+ years of total experience designing, building and shipping distributed software services for Web applications and cloud services at scale.
• Experience building products across the full stack using distributed services with modern tech stacks like React, Redis, Kubernetes, Azure or similar.
• Solid design, coding, debugging, teamwork, partnership, and communication skills.
• Excellent Technical skills in Driving Design, Architecture with cross product and services dependencies.
• Ability to Drive Innovation with customer obsession.
• Expertise in ML concepts and algorithms, along with a deep understanding of LLM usage patterns and agentic frameworks, is required.
• Experience with cross group design and coordination is an advantage.
• You must be self-driven, curious to learn, proactive, and result oriented.

#W+DJOBS

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.

Overview

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, and more openness in a cloud-enabled world. The Business & Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered.  

Responsibilities

We are looking for a Senior Software Engineer to join our team!

This is an incredible time to be part of our team and contribute to a highly strategic initiative for Microsoft. Power Platform brings together multiple products designed to empower customers in their digital transformation journey. In this role, you’ll help build scalable, reliable, secure, and compliant AI infrastructure that powers every product across Power Platform. You’ll work alongside a passionate team of engineers who thrive on solving complex challenges at scale while delivering exceptional quality. If you’re excited about driving innovation and shaping the future of AI-powered solutions, we’d love to have you on board.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Qualifications

Job Responsibilities: 

• Design, build, and operate cloud-scale, multi-tenant infrastructure platforms with a strong focus on reliability, security, scalability, and operational excellence.
• Lead the design and implementation of Kubernetes-based infrastructure, including cluster architecture, networking, storage, and workload isolation strategies.
• Build and evolve Infrastructure as Code (IaC) solutions (e.g., ARM, Bicep, Terraform, Helm) to enable repeatable, auditable, and automated infrastructure provisioning and lifecycle management.
• Apply systems thinking to design for failure domains, including regional isolation, availability zone strategies, dependency management, and blast-radius reduction.
• Drive resiliency and reliability improvements through proactive design reviews, fault modeling, chaos testing, and post-incident learning.
• Build tooling and automation to detect, diagnose, and self-heal infrastructure and platform issues, enabling customers and support teams to self-resolve problems.
• Identify recurring operational issues and escalation patterns, and drive engineering solutions such as self-healing mechanisms, automation, guardrails, and platform abstractions.
• Partner closely with product, SRE, and Azure platform teams to define regional deployment strategies, capacity planning, and safe rollout patterns.
• Contribute to product and platform improvements by filing impactful bugs, proposing design changes, and shipping fixes to production to prevent customer impact.
• Communicate complex technical issues and recommendations clearly and concisely, influencing cross-team decisions and driving measurable business outcomes.
• Embody Microsoft’s culture and values, contributing to a collaborative, inclusive, and growth-oriented engineering environment.

Required Qualifications: 

• Bachelor’s Degree in Computer Science or related technical field AND 8+ years of technical engineering experience
  OR equivalent experience.
• Hands-on experience with Kubernetes or container orchestration platforms in production environments.
• Experience with Infrastructure as Code (IaC) tools such as ARM, Bicep, Terraform, or similar.

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. 

Preferred Qualifications: 

• Strong understanding of distributed systems concepts, including failure domains, consistency, availability, and fault tolerance.
• Experience designing for high availability, regional resiliency, and disaster recovery in cloud environments.
• Familiarity with cloud networking, storage, and security fundamentals, including identity, access control, and isolation boundaries.
• Experience operating large-scale services with an emphasis on reliability engineering, incident response, and postmortem-driven improvements.
• Ability to reason about blast radius, dependency management, and safe rollout strategies in complex systems.

#CAPJobs #Agent365jobs

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.

Overview

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, and more openness in a cloud-enabled world. The Business & Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered.  

Responsibilities

We are looking for a Senior Software Engineer to join our team!

This is an incredible time to be part of our team and contribute to a highly strategic initiative for Microsoft. Power Platform brings together multiple products designed to empower customers in their digital transformation journey. In this role, you’ll help build scalable, reliable, secure, and compliant AI infrastructure that powers every product across Power Platform. You’ll work alongside a passionate team of engineers who thrive on solving complex challenges at scale while delivering exceptional quality. If you’re excited about driving innovation and shaping the future of AI-powered solutions, we’d love to have you on board.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Qualifications

Job Responsibilities: 

• Design, build, and operate cloud-scale, multi-tenant infrastructure platforms with a strong focus on reliability, security, scalability, and operational excellence.
• Lead the design and implementation of Kubernetes-based infrastructure, including cluster architecture, networking, storage, and workload isolation strategies.
• Build and evolve Infrastructure as Code (IaC) solutions (e.g., ARM, Bicep, Terraform, Helm) to enable repeatable, auditable, and automated infrastructure provisioning and lifecycle management.
• Apply systems thinking to design for failure domains, including regional isolation, availability zone strategies, dependency management, and blast-radius reduction.
• Drive resiliency and reliability improvements through proactive design reviews, fault modeling, chaos testing, and post-incident learning.
• Build tooling and automation to detect, diagnose, and self-heal infrastructure and platform issues, enabling customers and support teams to self-resolve problems.
• Identify recurring operational issues and escalation patterns, and drive engineering solutions such as self-healing mechanisms, automation, guardrails, and platform abstractions.
• Partner closely with product, SRE, and Azure platform teams to define regional deployment strategies, capacity planning, and safe rollout patterns.
• Contribute to product and platform improvements by filing impactful bugs, proposing design changes, and shipping fixes to production to prevent customer impact.
• Communicate complex technical issues and recommendations clearly and concisely, influencing cross-team decisions and driving measurable business outcomes.
• Embody Microsoft’s culture and values, contributing to a collaborative, inclusive, and growth-oriented engineering environment.

Required Qualifications: 

• Bachelor’s Degree in Computer Science or related technical field AND 8+ years of technical engineering experience
  OR equivalent experience.
• Hands-on experience with Kubernetes or container orchestration platforms in production environments.
• Experience with Infrastructure as Code (IaC) tools such as ARM, Bicep, Terraform, or similar.

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. 

Preferred Qualifications: 

• Strong understanding of distributed systems concepts, including failure domains, consistency, availability, and fault tolerance.
• Experience designing for high availability, regional resiliency, and disaster recovery in cloud environments.
• Familiarity with cloud networking, storage, and security fundamentals, including identity, access control, and isolation boundaries.
• Experience operating large-scale services with an emphasis on reliability engineering, incident response, and postmortem-driven improvements.
• Ability to reason about blast radius, dependency management, and safe rollout strategies in complex systems.

#CAPJobs #Agent365jobs

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.

Overview

Responsibilities

Platform Strategy & Roadmap

• Own the end-to-end product roadmap for MDO’s platform: the standards, tools, portals, paved paths, and SRE tooling that govern how developers build against, and how SRE/DRIs operate, MDO’s core systems.
• Define and evolve MDO’s builder capability and access tier model: trust tiers, maturity tiers, and the onboarding-to-production pipeline that matches access to risk.
• Champion a “guardrails, not gates” approach, embedding governance and operational requirements into tooling and templates rather than human approval processes.
• Partner with MDO vendor management, procurement, and operations teams to integrate platform requirements into vendor contracts and partner agreements.

Developer Experience & Paved Paths

• Design and deliver the developer paved road: templates, scaffolding, starter kits, sandbox environments, and reference integrations that make safe development the fastest path against MDO’s SAP, data warehouse, and API systems.
• Own the developer portal as a product: service catalog, API catalog, documentation, and self-service access flows.
• Drive developer onboarding from first day to first production deployment; treat time-to-productivity as a primary product metric.

Standards, Policies & Guardrails

• Develop API governance standards, data access policies, and system integration guidelines that protect MDO’s core systems while enabling developer velocity.
• Partner with Security, Legal, Compliance, and Architecture to translate risk requirements into automated, developer-friendly guardrails.
• Scale Azure policy-as-code and security posture management across MDO subscriptions.

Site Reliability & Operational Excellence

• Own the SRE tooling roadmap: incident management workflows, DRI playbooks, runbook automation, production readiness standards, and self-healing service patterns.
• Define and track reliability KPIs (availability targets, TTx, SLA attainment) and drive systemic improvements with data.
• Own production change management (CAB, deployment gates, phased rollouts) and drive toward zero-touch, policy-driven change approval.
• Run incident lifecycle management at scale: post-mortems, repair-item tracking, and service-health metrics.

AI in Operations

• Define product vision for AI in operations: Azure SRE Agent, AI-powered incident triage, and agentic resolution capabilities.
• Prioritize SRE agent capabilities, runbook automation, and self-healing patterns with engineering.
• Define success metrics (auto-resolution rate, MTTR reduction, incident deflection) and drive adoption across MDO.

Qualifications

Required Qualifications:

• Bachelor’s Degree AND 2+ years experience in product/service/program management or software development.
  • OR equivalent experience.

Preferred Qualifications:

Platform & Developer Experience

• 5+ years of experience in product management, technical program management, or software engineering, including 2+ years in platform, developer tools, API, or partner/ecosystem products.
• Experience with internal developer platforms, developer portals (Backstage or equivalent), or paved-path / golden-path tooling.
• Experience designing or operating developer programs for vendors, partners, or third-party builders (certification, onboarding, enablement).
• Experience defining product success using developer experience metrics such as developer NPS, DORA metrics, and time-to-productivity.

SRE & Operational Excellence

• Experience with incident management platforms (ICM, PagerDuty, ServiceNow) and SRE practices (SLOs/SLIs, error budgets, toil reduction).
• Experience defining AI/ML-driven automation strategies for operations or security use cases.
• Understanding of Azure infrastructure operations (AKS, App Gateway, VNets, NSGs, Key Vault, Entra ID).
• Familiarity with Azure policy-as-code and cloud security posture management.

Domain

• Familiarity with SAP, ERP, or large enterprise operations platform governance.
• Experience in supply chain, devices, hardware, or manufacturing operations domains.
• Familiarity with Azure, Microsoft 365, Dynamics, or Power Platform governance and compliance models.

Education & Background

• Background in solutions architecture, enterprise architecture, or technical program management.
• Master’s Degree, MBA, or equivalent advanced training in a related field.

#W+DJOBS

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.

Overview

Responsibilities

• Technical ownership of the audio subsystem for flagship Surface programs, driving milestone exit criteria and ensuring zero-regression driver ingestions. 
• Architect and design audio solutions spanning the full stack: hardware endpoints -> DSP firmware -> kernel drivers -> APO pipeline -> user-mode services. 
• Lead audio bring-up and endpoint validation on new platforms, including speaker, microphone, headset jack, SoundWire, and Bluetooth audio paths. 
• Develop, debug, and maintain Windows audio/media class drivers (WDM/WDF) and Audio Processing Objects (APOs) in the silicon audio stack (DSP RPC, Audio Core, APO). 
• Drive partner engagements – coordinate driver ingestion cycles with silicon and IHV partners; validate, triage, and qualify driver packages before integration. 
• Own root-cause analysis of complex audio quality issues (crackling, glitching, latency, distortion) using hardware-level analysers, DSP diagnostics, and Windows audio traces (WPR/WPA, AudioDG, MFTrace). 
• Integrate and validate third-party audio processing pipelines (DAX, Microsoft Effect Pack, Voice Clarity) within the Windows APO chain. 
• Mentor and grow team members – conduct code reviews, establish debugging best practices, and distribute domain knowledge across the team. 
• Drive SelfHost stability and audio backlog resolution, proactively identifying systemic issues and unblocking critical paths. 
• Collaborate on voice platform strategy, including integration of AI/ML-powered audio features (noise suppression, echo cancellation, speech enhancement). 
• Champion engineering excellence – introduce automation for repetitive validation, improve triage workflows, and raise the team’s technical bar. 
• Participate in secure development practices (SFI), closing critical security bugs within SLA and designing for security by default. 

Qualifications

Required/Minimum Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
  • OR equivalent experience.
• 10+ years of experience in software development with 4+ years focused on audio/media driver or subsystem development on Windows or embedded platforms. 
• Expert proficiency in C/C++ with extensive experience writing and debugging Windows kernel-mode drivers (WDM/WDF). 
• Deep understanding of the Windows audio architecture – audio engine, APO framework, endpoint management, media class drivers, and audio policy. 
• Proven experience working with DSP-based audio subsystems (Qualcomm ADSP, or similar), including firmware-host interaction via RPC/IPC mechanisms. 
• Demonstrated ability to independently root-cause complex, cross-stack audio issues: hardware -> DSP firmware -> driver -> APO -> application. 
• Solid foundation in audio signal processing: sample rates, buffer management, latency tuning, DMA transfers, and audio streaming models. 
• Track record of shipping 3+ high-volume consumer products through full development cycles (bring-up to commercialization). 
• Expert debugging skills using WinDbg, WPR/WPA, bus analysers (I2S/SoundWire/I2C), and audio-specific diagnostics. 
• Demonstrated ability to lead cross-team technical discussions and influence partner roadmaps. 

Preferred Qualifications:

• Experience with audio platforms (ADSP,APO) on ARM64/X86-based Windows devices. 
• Deep familiarity with audio enhancement stacks: Dolby DAX/Atmos, Microsoft Effect Pack, Voice Clarity, or similar APO pipelines. 
• Experience with Bluetooth audio profiles (A2DP, HFP, LE Audio) and USB Audio Class drivers. 
• Exposure to AI/ML-powered audio features – noise reduction, echo cancellation, speech enhancement – and frameworks like ONNX Runtime, Whisper, or Azure AI. 
• Experience building automation/tooling to accelerate driver validation, audio quality testing, or bug triage workflows. 
• Familiarity with Surface device firmware, UEFI, and platform-level thermal/power interactions affecting audio performance. 
• Prior experience mentoring engineers or leading a small technical team. 
• Contributions to open-source audio projects or publications in audio/signal processing. 

#W+DJOBS

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.

Overview

About the Role

AI decision systems are rapidly evolving. Modern platforms must combine deterministic logic, machine-learning models, advanced AI agents, and human expertise to make high-quality decisions at scale.

Evaluating these systems requires more than static benchmarks and traditional review queues. It requires platforms where automated evaluators, AI agents, production signals, and human experts work together continuously.

Microsoft Ads is looking for a hands-on Principal Software Engineer to build the next generation of agentic evaluation, audit, and human-review platforms.

You will create systems that help teams understand how decisions were made, identify where they fail, investigate supporting evidence, prioritize uncertain or high-impact cases, and turn review outcomes into measurable improvements.

The platform will connect:

production decisions → automated evaluation → agentic investigation → human judgment → system improvement

Responsibilities

• Architect and build scalable platforms for agentic evaluation, production audits, and human-in-the-loop review.
• Develop workflows in which AI agents gather evidence, analyze cases, compare decisions, and assist reviewers while preserving human oversight and accountability.
• Build reviewer experiences that present the right evidence, explanations, uncertainty, and recommended actions at the right time.
• Design distributed orchestration systems for long-running workflows involving models, agents, tools, automated checks, and human decisions.
• Provide technical leadership across engineering, applied science, product, design, operations, and policy teams.

Qualifications

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, with 8+ years of relevant industry experience.
• Strong production-coding skills in at least one of C++, C#, Java, Python, or TypeScript.
• Demonstrated experience designing, building, and operating large-scale distributed services or software platforms.
• Strong system-design skills across APIs, workflow orchestration, event-driven systems, storage, concurrency, fault tolerance, and service reliability.
• Experience building AI evaluation, agent orchestration, human-in-the-loop, audit, experimentation, or LLMOps platforms.
• Experience owning substantial systems from initial architecture through rollout, adoption, and production operations.

Preferred Qualifications

• Background in advertising, trust and safety, fraud, responsible AI, search, recommendations, or another high-scale complex decision domain.

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.

Overview

Responsibilities

Qualifications

Required/Minimum Qualifications:

• Bachelor’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 Python.
  • OR equivalent experience.
• Significant hands‑on experience building desktop or rich‑client applications, with a strong focus on UX quality and system fundamentals.
• Depth in one or more UI frameworks for desktop or cross‑platform development, such as WinForms, WPF, WinUI, SwiftUI, UIKit/AppKit, .NET MAUI, Avalonia UI, Qt, Uno Platform, Flutter, or Electron in strongly desired.
• Proficiency in C++ and/or C# (or comparable systems languages), with the ability to reason across framework, runtime, and OS layers.
• Experience navigating UI architecture tradeoffs involving performance, memory, rendering, input, threading, accessibility, and app lifecycle.
• Demonstrated ability to influence technical direction beyond your immediate team through design reviews, architectural guidance, or technical leadership.

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. 

Preferred Qualifications:

• Master’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 Python.
  • OR Bachelor’s Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
  • OR equivalent experience.
• Experience modernizing or evolving an existing UI framework or large application platform.
• Experience designing developer‑facing APIs or frameworks consumed by external teams or customers.
• Engagement with developer communities or open‑source projects.
• Familiarity with Windows app models, interop scenarios, or graphics/composition pipelines.

#WPD

#WPDINDIA

#W+D

#W+DJOBS

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.

Overview

Responsibilities

• Partners with appropriate stakeholders to determine user requirements for one or more complex scenarios.
• Provides technical leadership for the identification of dependencies and the development of design documents for a product, application, service, or platform.
• Leads by example and mentors’ others to produce extensible and maintainable code used across the company.
• Leverages deep subject-matter expertise of cross-product features with appropriate stakeholders (e.g., project managers) to lead multiple product’s project plans, release plans, and work items.
• Holds accountability as a Designated Responsible Individual (DRI), mentoring engineers across products/solutions, working on call to monitor system/product/service for degradation, downtime, or interruptions.
• Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale and shares knowledge with other engineers.

Qualifications

Required/Minimum Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
  • OR equivalent experience.
• Proven ability to define long-term ML infrastructure strategy and drive cross-org alignment across engineering, product, and research.
• Hands-on experience working or building robust, ML systems with high reliability, low latency, and seamless platform integration.

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. 

Preferred Qualifications:

• 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 Python.
  • OR Master’s Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
  • OR equivalent experience.
• Experience architecting ML inference pipelines for LLMs.
• Experience building local model integrations in system or app level components.
• Demonstrated mastery in ML compiler design, hardware-aware optimizations, and scalable infrastructure across heterogeneous platforms.

#W+DJOBS

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.

Overview

Responsibilities

Qualifications

Required Qualifications:

• 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 Python.
• OR Master’s Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. 
  • OR equivalent experience.
• 3+ years engineering management experience leading ICs and/or senior ICs. 
• Developed and released LLM-based systems to production with production runtime of 6+ months with significant usage. 

Preferred Qualifications:

• Experience building software in large, complicated codebases among thousands of engineers. 
• Hands-on experience using AI-assisted development tools in production engineering environments (e.g., LLM-powered IDE workflows, code generation, automated refactoring/testing) and the ability to operationalize them into consistent team practices. 
• Experience leading high impact software engineering teams, working within a shared ownership model with clear contracts. 
• Experience working across teams to develop solid designs and influence others to achieve the outcomes needed for our customers & partners. Practical application of automated evaluation harnesses, quality gates, and monitoring to improve code outputs over time. 

#W+DJOBS

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.

Microsoft Advertising serves billions of ad decisions every day across search, native, shopping, display, audience, and AI-powered advertising experiences. Trust & Safety is foundational to this marketplace: protecting users from harmful, deceptive, and low-quality content; protecting advertisers, publishers, and partners from fraud and abuse; and ensuring Microsoft Ads operates with strong policy, privacy, security, compliance, and regulatory integrity.We are seeking a deeply technical Senior Principal Architects to define and drive the next generation of the Ads Trust & Safety AI Platform. This is a engineering leadership role that entails setting technical direction, shaping platform strategy, influencing multiple engineering and science teams, and building durable systems that compound across Trust & Safety, Risk, Fraud, Security, Policy, Measurement, and Enforcement. This role is for a hands-on technical leader who can combine large-scale platform engineering with modern AI systems: agentic investigation workflows, LLM-powered reasoning, retrieval and evidence generation, heterogeneous model serving, risk intelligence, human-in-the-loop review, and high-integrity decisioning.The platform will power how Microsoft Ads understands advertisers, domains, landing pages, websites, business entities, policy risk, fraud signals, and adversarial behavior. It will enable faster and more reliable enforcement decisions, richer evidence for reviewers and investigators, safer automation, and stronger marketplace protection. A key part of this role is collaboration across the broader Trust ecosystem: Microsoft Ads, Microsoft Trust and Safety teams across products, Security,  Identity, and relevant worldwide industry peers and partners. The role requires someone who can evangelize technical direction, learn from adjacent teams and industry practices, align standards, and convert shared learnings into production-grade platform capabilities.

AI Platform Architecture and Technical Strategy

• Define the long-term architecture for the Ads Trust & Safety AI Platform across ingestion, signal acquisition, entity intelligence, retrieval, model orchestration, agentic workflows, decisioning, enforcement, human review, audit, and measurement.
• Translate broad Trust & Safety, Risk, Fraud, Security, and Policy needs into reusable platform capabilities.
• Establish reference architectures, design principles, technical standards, and engineering patterns for high-integrity AI and decisioning systems.
• Drive architecture choices across latency, throughput, quality, cost, explainability, governance, reliability, and operational safety.
• Identify critical platform gaps and create a roadmap that balances near-term delivery with long-term leverage.

Deep Research Agents and AI-Assisted Investigation

• Architect platform for Deep Research Agents that investigate domains, landing pages, advertisers, business entities, ownership patterns, web presence, reputation, policy risk, and fraud signals.
• Architect workflows that combine retrieval, crawling, structured evidence extraction, LLM reasoning, policy grounding, risk scoring and human in the loop.
• Architect guardrails for agentic systems, including source provenance, confidence scoring, hallucination controls, audit logs, escalation paths, and human override.
• Partner with Applied Science to convert AI research prototypes into production systems with clear quality, latency, cost, reliability, safety, and governance targets.

Entity Intelligence, Decisioning, and Enforcement

• Architect systems for high-fidelity understanding of domains, websites, landing pages, advertisers, business identities, ownership structures, relationship graphs, reputation, and provenance.
• Design real-time, nearline, and batch scoring systems for policy enforcement, fraud detection, abuse prevention, advertiser risk scoring, and marketplace protection.
• Evolve abstractions for model orchestration, feature lookup, signal stores, retrieval, model versioning, decision logging, policy controls, fallbacks, and experimentation.

Security, Risk, and Fraud Platform

• Architect systems to detect , learn and mitigate adversarial behavior across the advertiser lifecycle, including account creation, login events, payment changes, budget changes, campaign edits, creative changes, landing-page changes, and enforcement history.
• Build sequential and event-based risk systems that reason over advertiser behavior over time rather than treating each decision as an isolated event.

Cross-Microsoft Collaboration, Industry Learning, and Technical Leadership

• Collaborate across wider Microsoft , Safety, Security, Responsible AI, Identity and partner teams to create shared platform capabilities for risk detection, abuse prevention, evidence generation, and enforcement governance.
• Evangelize a coherent Trust & Safety AI platform strategy across Microsoft, helping teams converge on shared architectures, reusable abstractions, common taxonomies, and consistent decisioning patterns.
• Evangelize  & Learn from industry peers, and approved partner networks facing similar scale abuse patterns, and translate those learnings into practical platform improvements.

• Bachelor’s Degree in Computer Science or related technical field AND 15+ years of professional software engineering experience, or equivalent practical experience.8+ years of senior technical leadership experience influencing engineers, technical leads, architects, applied scientists, or cross-functional engineering teams across complex platform or product areas.
• Proven experience architecting and delivering large-scale production systems with meaningful reliability, scalability, latency, correctness, availability, security, and operational requirements.
• Deep technical experience in one or more of the following platform areas: AI/ML systems, agentic systems, model-serving infrastructure, decisioning systems, distributed systems, data platforms, workflow platforms, risk platforms, security platforms, or Trust & Safety systems.
• Experience building or technically leading production AI/ML systems, including exposure to modern AI patterns such as LLM-based workflows, retrieval-augmented generation, model orchestration, automated reasoning, human-in-the-loop systems, AI-assisted operational tooling, or agentic workflows.
• Strong understanding of the engineering requirements for deploying AI or decision systems in production, including evaluation, observability, quality measurement, rollout safety, fallback behavior, latency/cost tradeoffs, drift detection, explainability, governance, and operational reliability.
• Experience designing high-integrity systems where decisions must be auditable, reproducible, explainable, governed, and secure, especially when handling sensitive signals, advertiser impact, policy enforcement, risk decisions, or compliance-sensitive workflows.
• Ability to drive clarity from ambiguity, define technical direction, create reusable platform abstractions, and influence execution across multiple teams without relying on direct management authority.
• Strong written and verbal communication skills, including the ability to explain architecture, tradeoffs, risks, sequencing, and technical strategy to senior engineering, science, product, policy, security, and business leaders.

Preferred Qualification
The candidate is not expected to have deep experience in every area below. Broader coverage across these areas is preferred, especially where the candidate has demonstrated the ability to connect multiple domains into durable platform architecture and production systems.

• Deep domain experience in Trust & Safety, Fraud, Abuse, Risk, Security, Ads Quality, Marketplace Integrity, Policy Enforcement, or advertiser protection systems.Experience with adversarial systems, including phishing, malware, cloaking, account takeover, payment abuse, fake identities, compromised advertisers, coordinated fraud, and policy evasion.
• Experience building Deep Research Agents, investigation agents, reviewer-assist systems, retrieval-augmented generation systems, LLM-powered operational workflows, or AI systems that produce grounded evidence for human or automated decisions.
• Expertise in heterogeneous inference platforms supporting LLMs, SLMs, wide & deep models, ensembles, graph models, classical ML models, heuristics, and rules engines.
• Experience with entity intelligence, knowledge graphs, web crawling, domain reputation, business identity resolution, provenance, evidence extraction, or risk scoring.
• Experience designing human-in-the-loop review systems, appeals workflows, audit platforms, policy reasoning systems, or enforcement governance mechanisms.
• Experience with large-scale measurement systems for false positives, false negatives, model drift, agent quality, policy quality, reviewer quality, enforcement stability, business impact, and operational health.
• Experience collaborating with Trust, Safety, Security, Privacy, Identity, Compliance, Legal, or Responsible AI teams across multiple products or platforms.
• Experience evangelizing technical strategy across multiple teams, learning from industry peers, and helping establish shared standards, taxonomies, schemas, signal-quality measures, or platform patterns.
• Experience working with industry partners, trusted abuse-prevention networks, threat-intelligence providers, domain-reputation providers, identity-verification providers, payment-risk partners, or ecosystem safety initiatives. 

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.