CrawlJobs Logo
Microsoft Corporation Logo Microsoft Corporation · IT - Software Development

Principal Applied AI Engineer

United States, Redmond 139900.00 - 274800.00 USD / Year · Job Posted February 04, 2026
Apply Position
Job Link Share

Job Description

Microsoft Dynamics 365 powers mission-critical business operations across the globe. Within this ecosystem, the Customer Experience Applications (CX Apps) team delivers Dynamics 365 Sales and Service an AI-native solution enabling organizations to build intelligent, scalable, and omnichannel customer service operations through voice, chat, SMS, and more. As a Principal Applied AI Engineer, you will be a principal technical leader responsible for driving the architecture, design, and implementation of AI-first experiences across the Dynamics 365 Sales and Service platform. This role blends deep AI/ML expertise with modern software engineering excellence, applied at scale to mission-critical enterprise SaaS applications. You will work across boundaries partnering with engineering, product, design, data science, and infrastructure teams to deliver intelligent, secure, and customer-centric solutions. You will influence strategic decisions, guide junior engineers, and contribute directly to production systems used by some of the world’s largest enterprises. We are looking for a results-driven, hands-on technical leader who thrives in fast-paced environments, thinks end-to-end, and brings both a strong systems mindset and deep AI/ML experience to solve enterprise-grade challenges. This is an opportunity to be part of a high-impact, high-visibility product group at Microsoft. You’ll help define how AI reshapes enterprise customer service experiences and build intelligent systems that empower agents, improve customer satisfaction, and transform businesses worldwide. If you’re excited about solving real-world problems with AI, working in a fast-moving, collaborative engineering team, and building durable, customer-centric solutions at scale—we’d love to hear from you.

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

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
  • 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
  • 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

  • 8+ years of hands-on software engineering experience with deep expertise in languages such as C#, Python, Java, or equivalent
  • 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
  • Hands-on experience integrating models from Azure AI, OpenAI, HuggingFace, or custom-trained models into scalable application pipelines
  • Strong architectural and systems thinking—capable of making trade-offs between performance, cost, simplicity, and maintainability
  • Exceptional written and verbal communication skills with the ability to influence across roles and levels
  • Experience working in highly regulated or secure environments, including Zero Trust, privacy, and compliance practices
  • Prior experience working with or building solutions for customer service, CRM, or enterprise productivity scenarios is a strong plus
Microsoft Corporation - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Principal Applied AI Engineer

8 matching positions

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

Principal Applied AI Engineer

Security represents the most critical priorities for our customers in a world aw...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science, Data Science or related technical field
  • Minimum 9+ Years of total Experience
  • 5+ years technical engineering experience with coding in languages including C#, Java AND Python
  • Should have 5+ years in Data Science experience
  • 3 years of experience with LLMs and open-source GenAI frameworks, such as LangChain, LlamaIndex, Haystack, or equivalents (e.g., Transformers, AutoGen, DSPy), including agent-based orchestration, prompt engineering, retrieval-augmented generation (RAG), and fine-tuning and evaluation
  • Proficiency in writing production-quality software code in one or more modern programming languages (Python, C#)
  • 3+ years experience developing software systems end-to-end, from design to implementation
  • 2+ years experience in shipping at least 2 large scale ML/AI-based services or applications on cloud platforms (Azure, AWS, GCP, etc.)
Job Responsibility
Job Responsibility
  • Design, develop, and deploy end-to-end AI/ML systems, including data ingestion, model training, evaluation, and integration into production environments
  • Build and optimize applications leveraging LLMs and open-source GenAI frameworks such as LangChain, LlamaIndex, Haystack, Transformers, AutoGen, and DSPy
  • Implement advanced GenAI techniques including agent-based orchestration, prompt engineering, retrieval-augmented generation (RAG), and model fine-tuning
  • Write production-grade software in Python and C# or Java, ensuring maintainability, scalability, and performance
  • Collaborate with cross-functional teams to translate business requirements into technical solutions
  • Ship and maintain large-scale AI applications, with a focus on performance monitoring and continuous improvement
  • Conduct rigorous evaluation of AI models using appropriate metrics and benchmarks
  • Optimize models for latency, throughput, and accuracy in real-world scenarios
  • Work closely with data scientists, product managers, and other engineers to drive AI initiatives
  • Stay current with the latest advancements in GenAI, LLMs, and AI frameworks
  • Fulltime
Read More
Arrow Right

Principal Applied AI Engineer

Microsoft Dynamics 365 powers mission-critical business operations across the gl...
Location
Location
United States , Multiple Locations
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
  • 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
  • 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
  • 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

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
  • 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
  • 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
  • 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

Principal Applied AI Engineer

Security represents the most critical priorities for our customers in a world aw...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science, Data Science or related technical field
  • Minimum 9+ Years of total Experience
  • 5+ years technical engineering experience with coding in languages including C#, Java AND Python
  • Should have 5+ years in Data Science experience
  • 3 years of experience with LLMs and open-source GenAI frameworks, such as LangChain, LlamaIndex, Haystack, or equivalents (e.g., Transformers, AutoGen, DSPy), including agent-based orchestration, prompt engineering, retrieval-augmented generation (RAG), and fine-tuning and evaluation
  • Proficiency in writing production-quality software code in one or more modern programming languages (Python, C#)
  • 3+ years experience developing software systems end-to-end, from design to implementation
  • 2+ years experience in shipping at least 2 large scale ML/AI-based services or applications on cloud platforms (Azure, AWS, GCP, etc.)
Job Responsibility
Job Responsibility
  • Design, develop, and deploy end-to-end AI/ML systems, including data ingestion, model training, evaluation, and integration into production environments
  • Build and optimize applications leveraging LLMs and open-source GenAI frameworks such as LangChain, LlamaIndex, Haystack, Transformers, AutoGen, and DSPy
  • Implement advanced GenAI techniques including agent-based orchestration, prompt engineering, retrieval-augmented generation (RAG), and model fine-tuning
  • Write production-grade software in Python and C# or Java, ensuring maintainability, scalability, and performance
  • Collaborate with cross-functional teams to translate business requirements into technical solutions
  • Ship and maintain large-scale AI applications, with a focus on performance monitoring and continuous improvement
  • Conduct rigorous evaluation of AI models using appropriate metrics and benchmarks
  • Optimize models for latency, throughput, and accuracy in real-world scenarios
  • Work closely with data scientists, product managers, and other engineers to drive AI initiatives
  • Stay current with the latest advancements in GenAI, LLMs, and AI frameworks
  • Fulltime
Read More
Arrow Right

Principal engineer applied ai

Are you looking to redefine customer experience by bending the curve of innovati...
Location
Location
India , Bengaluru; Pune
Salary
Salary:
Not provided
barclays.co.uk Logo
Barclays
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A Bachelor’s degree (or above) in computer science, engineering, mathematics, or a related discipline
  • 12+ years of experience in Software Engineering, Data Science, or Analytics with 5+ years of experience in AI/ML engineering or related fields
  • Demonstrated experience designing and implementing highly scalable, production-grade AI/ML platforms and systems
  • Deep understanding of Large Language Models (LLMs), LLM training & fine tuning
  • Hands-on experience in GenAI and AgenticAI frameworks such as LangGraph/LangChain, CrewAI, Strands SDK, Google ADK, etc. Familiarity on working with MCP and A2A protocols
  • Expertise in various AI/ML techniques, such as deep learning, natural language processing, reinforcement learning, and large language models
  • Proficiency in Python, R, or other programming languages for data analysis and AI/ML development
  • Experience with DevOps and CI/CD tools and practices, such as Git, Jenkins, Docker, Kubernetes, etc.
Job Responsibility
Job Responsibility
  • Serve as the primary code-level reviewer and hands-on architect for the most complex AI/ML systems and frameworks
  • Define and enforce technology roadmaps, best practices, strategies, and standards for AI/ML adoption across the organization
  • Conduct and guide research on context/prompt engineering techniques to translate successful research into reusable engineering frameworks for the wider team
  • Architect and maintain robust data pipelines and data processing workflows for model training and model tuning, utilizing cloud services for scalability and efficiency
  • Implement and champion MLOps tools and practices, ensuring seamless integration of machine learning models and LLMs into production environments
  • Lead the effort to agentize existing systems (front-end & back-end apps) by incorporating agentic frameworks/stacks and integrating them via A2A, MCP protocol
  • Partner with cross-functional teams to integrate AI/ML solutions into products and services
  • Mentor and coach junior and senior engineers on advanced AI/ML techniques, best practices, and architecture design.
What we offer
What we offer
  • Competitive holiday allowance
  • Life assurance
  • Private medical care
  • Pension contribution
Read More
Arrow Right

Principal Engineer – GenAI & Applied AI

We are seeking a hands-on GenAI engineering leader to design and deliver agentic...
Location
Location
India , Pune
Salary
Salary:
Not provided
Codvo AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years in software/AI engineering, with 3+ in LLMs/GenAI
  • Deep expertise in Python, orchestration frameworks, vector search
  • Strong exposure to cloud AI services (AWS Bedrock, Azure AI Foundry, GCP Vertex AI)
  • Track record of shipping production-grade AI systems
Job Responsibility
Job Responsibility
  • Architect agentic workflows, RAG systems, conversational AI solutions
  • Build accelerators and reusable components on frameworks like LangChain, LangGraph, Haystack
  • Integrate LLMs with vector databases, APIs, enterprise data sources
  • Implement AI evaluation, prompt optimization, safety guardrails
  • Mentor engineers, review code, set AI development best practices
  • Fulltime
Read More
Arrow Right

Principal Ai Engineer - Enterprise Ai Solutions

Our Mission: At Palo Alto Networks®, we’re united by a shared mission—to protect...
Location
Location
United States , Santa Clara
Salary
Salary:
185200.00 - 299475.00 USD / Year
paloaltonetworks.com Logo
Palo Alto Networks
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in a related field or equivalent military experience required
  • 12+ years of related experience, or a Master's degree with 8 years of experience, or a PhD with 5 years of experience
  • Proven expertise in designing and building complex, enterprise-grade AI/ML platforms and applications
  • Direct hands-on experience with Generative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI systems
  • Strong programming skills in languages such as Python, Java, or Go and proficiency in modern AI/ML frameworks (e.g., TensorFlow, PyTorch)
  • Extensive hands-on experience with distributed systems architecture, streaming data platforms, and cloud AI/ML platforms (e.g., GCP Vertex AI, AWS SageMaker)
Job Responsibility
Job Responsibility
  • Lead the applied AI solution design and architecture, breaking down ambiguous business problems into concrete, actionable AI solution designs
  • Drive the hands-on development and implementation of key AI components, supporting both traditional and Generative AI model development and deployment
  • Contribute significantly to the detailed design of large-scale, distributed AI/ML systems, ensuring performance, reliability, and security
  • Proactively collaborate with executive leadership, data science, engineering, and product stakeholders to translate business use-cases into scalable AI solutions
  • Provide technical leadership and mentorship to other AI/ML engineers, fostering a culture of engineering excellence and hands-on experimentation
  • Lead the implementation and continuous improvement of MLOps pipelines, including automated model training, versioning, deployment, and monitoring
  • Champion and enforce design standards, patterns, and best practices for scalable and secure development of AI applications across various teams
  • Actively research and evaluate cutting-edge AI/ML techniques, algorithms, and models to identify opportunities for platform enhancement and new solution development
What we offer
What we offer
  • Restricted stock units
  • Bonus
  • Fulltime
Read More
Arrow Right