CrawlJobs Logo

Principal Software Engineer - Azure AI Translation & Language Team

https://www.microsoft.com/ Logo

Microsoft Corporation

Location Icon

Location:
United States , Redmond

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Employment contract

Salary Icon

Salary:

139900.00 - 274800.00 USD / Year
Save Job
Save Icon
Apply Position

Job Description:

Do you want to build a foundational platform that powers global AI experiences across languages? You will join the Azure AI Translation and Language team, developing large-scale distributed systems that enable reliable, high-performance translation and language services used across Microsoft products including infrastructure supporting large-scale model inference workloads. Our platform underpins real-time communication for millions of users worldwide. As a Principal Software Development Engineer, you will lead the design and evolution of core infrastructure systems that support Azure AI translation and language services at scale. You’ll work on high-impact challenges across distributed systems, service reliability, and platform architecture. This role offers opportunities to shape foundational systems, drive engineering excellence, and operate in a flexible hybrid work environment. Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.

Job Responsibility:

  • Lead the design and implementation of large-scale, distributed systems that power Azure AI translation and language services
  • Define and evolve platform architecture for high availability, scalability, and performance across global deployments
  • Drive improvements in reliability, fault tolerance, and operational excellence for mission-critical services
  • Build and enhance core infrastructure components such as service orchestration, workload management, and data pipelines
  • Establish best practices for service observability, monitoring, alerting, and incident response
  • Collaborate with partner teams (including applied science and product teams) to enable robust and scalable service integrations
  • Mentor engineers and set a high bar for system design, code quality, and engineering rigor across the team

Requirements:

  • Bachelor's Degree in Computer Science, Engineering, or related field AND 6+ years of software development experience with coding in languages including, but not limited to, C, C++, C#, Java, or Rust OR equivalent experience
  • 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.

Nice to have:

  • 5+ years of experience designing and building large-scale distributed systems or cloud infrastructure
  • Experience building and operating highly available services with strict requirements for latency, scalability, and reliability
  • Experience with cloud platforms (e.g., Azure) and service-oriented or microservices architectures
  • Experience building infrastructure for AI/ML services, such as model serving platforms, data processing systems, or training pipelines
  • Experience with system performance optimization, capacity planning, and cost-efficiency at scale
  • Experience designing globally distributed systems and handling multi-region deployments
  • Experience with reliability engineering practices, including incident management and postmortem analysis
  • Programming experience in Python
  • Master's or PhD in Computer Science, Engineering, or related field

Additional Information:

Job Posted:
May 05, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Icon
Microsoft Corporation - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Principal Software Engineer - Azure AI Translation & Language Team

Software Engineering Manager

Are you an Engineering Manager already at the forefront of agentic AI — someone ...
Location
Location
Canada , Vancouver
Salary
Salary:
142400.00 - 257500.00 CAD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 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 experience managing software engineering teams, including hiring, performance management, and career development
  • A solid software engineering background — you don't need to be writing production code daily, but you should be able to engage deeply with technical decisions, review designs, and earn credibility with high-level engineers
  • Track record of delivering software projects end-to-end: scoping, planning, shipping, and iterating along with solid communication and collaboration skills, with the ability to operate effectively across engineering, product, and leadership stakeholders while being comfortable leading in ambiguous, fast-moving problem spaces where best practices are still being established
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Job Responsibility
Job Responsibility
  • Lead, grow, and retain a team of talented software engineers working on AI-powered developer productivity tooling
  • Partner with technical leads and principal engineers to set team direction, prioritize work, and ensure alignment with broader ES365 and Microsoft goals
  • Drive clarity on team goals, project milestones, and success metrics — translating strategy into executable plans
  • Foster a culture of experimentation and resilience, where the team feels empowered to try novel AI approaches, learn from failures, and iterate quickly
  • Own the career development of your engineers — providing regular coaching, feedback, and growth opportunities
  • Champion the use of AI in your team's daily workflows and stay current on the evolving landscape of AI developer tools and agentic systems
  • Build and maintain strong cross-team partnerships with other groups at Microsoft working on AI, developer tooling, and engineering systems
  • Recruit and hire exceptional engineering talent to grow the team
  • Contribute positively to a culture where everyone can bring their full and authentic self and where we do our best work as a result
  • Fulltime
Read More
Arrow Right

Principal Software Engineering Manager - AI Frameworks

As a Principal Software Engineering Manager - AI Frameworks on the team, you wil...
Location
Location
United States , Redmond
Salary
Salary:
139900.00 - 304200.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 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
  • Master’s Degree in Computer Science or related technical field AND 10+ years of software engineering experience, including 6+ years in engineering management, OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years of software engineering experience, including 6+ years in engineering management, or equivalent experience
  • Strong technical foundation in software engineering principles, computer architecture, GPU architecture, and hardware acceleration for neural networks, with the ability to guide teams working in these areas
  • Experience leading teams responsible for end-to-end performance analysis and optimization of LLMs, AI systems, or HPC workloads, including use of GPU profiling and performance analysis tools
  • Demonstrated ability to lead cross-team initiatives, align stakeholders, and translate research or platform capabilities into scalable, production-ready solutions
  • Proven people leadership skills, including hiring, coaching, performance management, and career development, with a track record of building high-performing, inclusive teams
  • Exposure to AI / ML infrastructure, including DNN or LLM training and/or inference systems, and experience with at least one modern deep learning framework (e.g., PyTorch, TensorFlow, ONNX Runtime)
  • Familiarity with GPU software stacks and acceleration technologies such as CUDA, ROCm, Triton, or equivalent, sufficient to guide technical direction and evaluate tradeoffs
Job Responsibility
Job Responsibility
  • Lead and develop a team of engineers working across multiple layers of the AI software stack to enable large-scale training and inference
  • Set technical vision and execution strategy for model performance benchmarking, optimization, and deployment across GPUs and Microsoft hardware
  • Drive performance outcomes by prioritizing and overseeing efforts to benchmark, profile, debug, and optimize training and inference workloads
  • Own performance health by establishing mechanisms to monitor regressions, measure impact, and continuously improve time-to-deploy and hardware efficiency
  • Partner cross-functionally with research, product, infrastructure, and hardware teams to deliver scalable, production-ready AI performance improvements
  • Balance short-term delivery and long-term investments, ensuring the team’s work aligns with organizational goals, platform roadmaps, and Azure capex objectives
  • Build a strong engineering culture through coaching, feedback, hiring, and career development, enabling the team to operate with increasing autonomy and impact
  • Fulltime
Read More
Arrow Right

Principal Software Engineer

Are you looking for an opportunity to work with the latest Azure offerings and p...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10–12+ years of experience in software engineering, with significant experience building scalable backend or distributed systems
  • Strong programming expertise in one or more languages such as Python, Go, Java, or C#, with experience designing production-grade services and APIs
  • Experience building AI-powered applications, including integrating LLMs, implementing agent or Copilot workflows, and orchestrating multi-step AI interactions
  • Hands-on experience with LLM application frameworks and orchestration tools such as Semantic Kernel, LangChain, or similar agent frameworks
  • Familiarity with retrieval-augmented generation (RAG) architectures, vector databases, embeddings, and semantic search systems
  • Experience evaluating and improving model performance through prompt design, evaluation frameworks, fine-tuning, or feedback loops
  • Solid understanding of distributed systems concepts including scalability, reliability, observability, caching, and asynchronous processing
  • Experience deploying and operating AI workloads in cloud environments (preferably Azure), including containerized services and GPU-enabled infrastructure
  • Understanding of Responsible AI practices, including model governance, safety, privacy, and evaluation of AI behaviour in production systems
  • Ability to work across product, research, and engineering teams to translate product scenarios into scalable AI system architectures
Job Responsibility
Job Responsibility
  • Design, build, and operate scalable AI systems that power intelligent product experiences, including Copilot and agent-driven workflows
  • Architect and implement backend services that support multi-step AI interactions, including orchestration pipelines, context management, memory/state persistence, and tool execution
  • Integrate large language models (LLMs), APIs, and internal services to enable context-aware, human-in-the-loop experiences across customer scenarios
  • Build and maintain data and inference pipelines that support model training, fine-tuning, evaluation, and real-time inference across diverse data sources
  • Evaluate, benchmark, and tune AI/ML models (LLMs and traditional models) to meet product requirements for accuracy, latency, reliability, and safety
  • Implement robust retrieval, grounding, and knowledge integration mechanisms (e.g., RAG systems, semantic indexing, vector search) to power intelligent applications
  • Collaborate with product managers, software engineers, and researchers to translate product vision into production-ready AI capabilities and measurable outcomes
  • Ensure reliability, observability, and governance of AI systems, including monitoring model performance, data quality, and responsible AI practices
  • Build reusable platforms, APIs, and tools that enable teams to rapidly develop AI-powered features and self-service intelligent applications
  • Fulltime
Read More
Arrow Right

Senior and Principal Software Engineers - Azure AI Search

Join Azure AI Search Engineering Foundations as a Senior or Principal Software E...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
  • Experience building or operating services on Azure (or comparable cloud platform).
  • Experience with secure engineering practices (e.g., threat modeling, secure coding, secrets management, managed identities, authentication/authorization, certificates).
  • Experience building developer platforms or frameworks (e.g., validation frameworks, test infrastructure, internal SDKs, reusable libraries).
  • Experience evaluating or integrating AI-assisted developer workflows in a production engineering environment.
  • Master's Degree in Computer Science or related technical field OR equivalent experience.
  • Successful track record delivering production software end-to-end (design, implementation, testing, rollout) for a service or platform, with clear ownership of at least one meaningful component or capability.
  • Successful track record improving engineering productivity through tooling, automation, build/test infrastructure, CI/CD, or operational tooling—demonstrated by measurable outcomes (e.g., reduced build/test/validation time, improved pipeline reliability, reduced manual steps/toil).
  • Successful track record operating and improving reliability of software systems by diagnosing issues from logs/metrics/traces, driving fixes, and validating improvements (e.g., reduced incident recurrence, improved operational health signals).
  • Successful cross-team collaboration: partnered with stakeholders to clarify ambiguous requirements, evaluate tradeoffs, and deliver agreed outcomes (e.g., shipped incremental milestones, communicated risks and dependencies clearly).
Job Responsibility
Job Responsibility
  • Own and deliver engineering foundations work end‑to‑end—spanning design, implementation, testing, rollout, and iteration—to improve the inner‑ and outer‑loop developer experience across Azure AI Search.
  • Partner closely with feature, platform, and infrastructure teams to understand developer pain points, translate requirements into pragmatic tooling, automation, and process improvements, and drive adoption through collaboration and iteration.
  • Prototype, evaluate, and integrate AI‑assisted engineering tools and modern workflows that measurably improve developer productivity, quality, reliability, and operational confidence.
  • Design and incrementally deliver scalable, reliable, and efficient solutions across CI/CD pipelines, build and test infrastructure, validation frameworks, automation, and operational tooling—using data and feedback to validate impact.
  • Apply a security‑first mindset in daily engineering work, including secure coding practices, threat modeling, identity and secrets hygiene, and compliance‑aware design.
  • Navigate ambiguity by breaking down complex problems, proposing options and tradeoffs, aligning stakeholders around a clear direction, and communicating progress, risks, and outcomes effectively.
  • Lead by example through strong technical judgment, mentorship, and collaboration, helping raise the bar for engineering practices while fostering an inclusive, high‑trust team culture.
  • Define and influence a high‑quality developer experience for Azure AI Search by setting standards, establishing best practices, and driving improvements that enable engineering teams to thrive.
  • Deliver results with a focus on measurable outcomes, such as reduced build and test times, faster PR validation, improved pipeline reliability, and decreased manual toil.
  • Fulltime
Read More
Arrow Right

Principal Software Engineering Manager - AI Engineering

The Fabric Data Engineering Experience & Infrastructure team is hiring a Princip...
Location
Location
Canada , Vancouver
Salary
Salary:
142400.00 - 257500.00 CAD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science, or related technical discipline 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
  • 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.
Job Responsibility
Job Responsibility
  • Lead and grow a team: Hire, onboard, coach, and develop engineers
  • set clear expectations
  • create an inclusive culture of accountability, learning, and collaboration.
  • Drive execution and delivery: Guide team planning and prioritization across multiple workstreams
  • manage dependencies, risks, and release readiness
  • ensure predictable delivery from requirements → architecture → implementation → rollout → live-site operations.
  • Shape requirements with partners: Partner with Product Management, Design, Research, and dependent engineering teams to translate ambiguous customer needs into crisp scenario plans and measurable outcomes.
  • Guide architecture and technical strategy: Lead identification of dependencies and development of design documents
  • guide architectural decisions for distributed, cloud-scale systems (Spark/PySpark + Python services) with explicit tradeoffs across performance, reliability, cost, security, privacy, and operability.
  • Raise the engineering quality bar: Establish and reinforce engineering standards (design reviews, coding patterns, test strategy, performance practices, operational readiness)
  • Fulltime
Read More
Arrow Right

Principal Software Engineers - Applied AI for Microsoft Threat Protection

The Microsoft Security Organization is building the next generation of security ...
Location
Location
United States , Redmond
Salary
Salary:
139900.00 - 274800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, Python, C#, Go, or Java OR equivalent experience
  • 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
  • Master'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 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
  • 6+ years of experience designing, building and operating scalable ML systems, including ML infrastructure and pipelines (Azure ML, Kubernetes), model versioning, observability, and secure deployment, with hands‑on experience in MLOps/AIOps/SecDevOps practices
  • 6+ years of experience building secure, reliable software systems, with applied knowledge of authentication, data protection, access control, and secure coding practices
  • 6+ years of experience designing, building, and operating distributed or cloud‑scale systems (Azure, AWS, or GCP), including production ownership, CI/CD integration, and operating highly available services
  • 2+ years of experience designing and building applications with LLM orchestration frameworks (e.g., LangChain, AutoGen), including agent‑based workflows, RAG pipelines, prompt engineering, and model fine‑tuning/evaluation
Job Responsibility
Job Responsibility
  • Design and evolve AI‑driven security systems leveraging large language models, multimodal models, and frontier capabilities to address complex security challenges
  • Develop contextual knowledge systems, including security graphs, semantic representations, memory frameworks, and high‑quality reasoning over security data
  • Collaborate across disciplines with Security Engineers, domain experts, and Product Managers to define inclusive, AI‑native security experiences
  • Partner with AI Infrastructure and Platform teams, Research, and Model Engineering groups to translate security workflows into AI‑optimized architectures
  • Enable automation, augmentation, and responsible autonomy to drive measurable functional improvements across security solutions
  • Prototype, validate, and deploy solutions in live production environments while upholding Microsoft standards for security, reliability, privacy, and trust
  • Shape technical direction for AI Security by influencing architecture, tooling, engineering practices, and shared best practices
  • Lead cross‑team initiatives spanning security products, platforms, and business units through collaboration and shared ownership
  • Mentor and sponsor engineers at multiple levels, fostering inclusive technical dialogue, sound engineering judgment, and continuous growth
  • Contribute to a culture of learning, accountability, and impact across the broader engineering and security community
  • Fulltime
Read More
Arrow Right

Principal Applied AI Engineer

Microsoft Dynamics 365 powers mission-critical business operations across the gl...
Location
Location
United States , Redmond
Salary
Salary:
139900.00 - 274800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 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
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
  • 8+ years of hands-on software engineering experience with deep expertise in languages such as C#, Python, Java, or equivalent
  • 2+ years of experience delivering AI/ML-based systems at production scale, ideally including LLMs, transformers, RAG pipelines, or similar architectures
  • Demonstrated experience leading engineering teams or cross-functional initiatives involving AI systems in cloud environments
  • Proven track record of designing and deploying AI-first applications at scale, with deep understanding of performance, privacy, compliance, and operational constraints in enterprise SaaS
  • Expertise in MLOps/LLMOps, including model versioning, retraining pipelines, A/B testing, monitoring, and rollout strategies
  • Deep knowledge of cloud platforms (preferably Azure) and experience deploying containerized AI services using Kubernetes, Docker, or similar
Job Responsibility
Job Responsibility
  • Own architecture, strategy, and execution of AI-powered features across Dynamics 365 Sales and Service, ensuring technical alignment with Microsoft’s cloud-scale services and AI platform direction
  • Design and deliver production-ready AI solutions that leverage large language models (LLMs), natural language understanding, speech, and real-time reasoning to improve agent productivity and customer satisfaction
  • Lead complex technical initiatives, including AI model integration, platform scalability, reliability, and long-term maintainability
  • Collaborate deeply with applied scientists, product managers, and UX teams to translate customer needs into intelligent capabilities that deliver measurable business value
  • Drive engineering rigor across the team by establishing high standards for code quality, observability, testing, MLOps, and secure deployment practices
  • Mentor engineers across levels, fostering a culture of innovation, inclusivity, and continuous learning
  • Proactively identify technology gaps, evaluate emerging AI frameworks/tools (including open-source and Azure AI offerings), and champion adoption where appropriate
  • Act as a technical advisor across the broader organization, contributing to cross-team initiatives and long-term architectural planning
  • Fulltime
Read More
Arrow Right

AI Architect

Help us deliver like never before. We’re hiring an AI Architect to join our AI A...
Location
Location
Australia , Richmond
Salary
Salary:
Not provided
auspost.com.au Logo
Australia Post
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience operating in a large, complex enterprise architecture environment
  • Experience aligning AI solutions to enterprise standards and governance
  • Strong advisory and consulting capability across AI platforms and solution design for Generative AI and agentic AI systems
  • Proven ability to lead end‑to‑end architecture for scalable, secure and compliant production deployments
  • Ability to evaluate and recommend embedded and integrated AI capabilities across the enterprise stack
  • Experience working hands‑on or in an advisory capacity with platforms such as Vertex AI and Gemini Enterprise
  • Experience with enterprise ecosystems including Salesforce, SAP and Adobe
  • Ability to define AI technology strategy and multi‑year roadmaps aligned to business outcomes
  • Experience partnering closely with business, platform, security and engineering teams
  • Experience with AI in specific domains such as natural language processing (NLP), computer vision, or reinforcement learning
Job Responsibility
Job Responsibility
  • Design and implement AI architectures that are scalable, secure, and aligned with Australia Post’s technology stack and Enterprise Data & AI Reference Architecture
  • Collaborate with the Principal AI Architect to translate business requirements into technical specifications and actionable plans
  • Prepare solution designs for AI initiatives and present them to relevant architecture forums for review and endorsement
  • Ensure all AI architecture designs adhere to AI Governance policies and standards to ensure responsible and ethical use of AI
  • Collaborate with cross-functional teams, including data scientists, software engineers, and IT specialists, to deliver AI projects on time and within scope
  • Document AI architectures, processes, and methodologies to ensure clear communication and knowledge sharing across teams
  • Provide regular updates and reports on project progress, risks, and outcomes to the Principal AI Architect and other stakeholders
  • Fulltime
Read More
Arrow Right