Microsoft · 9 hours ago
Applied AI Engineer II
United States, Washington, Redmond
Full-time
Hybrid
Entry, Mid Level
$101K/yr - $199K/yr
2+ years expMicrosoft is a leading technology company, and they are seeking an Applied AI Engineer II to drive the architecture, design, and implementation of AI-first experiences across the Dynamics 365 Sales and Service platform. The role involves collaborating with cross-functional teams to deliver intelligent solutions and optimizing AI model performance in production environments.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
Apply both software engineering and AI experience to build intelligent, scalable solutions that power Dynamics 365 services used globally
Collaborate with cross-functional teams to deliver high-impact features aligned with enterprise standards and cloud-scale requirements
Design and develop highly usable, scalable application capabilities, integrating AI models and enhancing existing features to meet evolving customer needs
Build and debug production-grade code in distributed systems
Translate business requirements into AI solutions, collaborating with data scientists, product managers, and engineering teams to ensure alignment and impact
Optimize AI model performance and reliability in production environments, including retraining, evaluation, and continuous monitoring
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 with applied scientists, product managers, and UX teams to translate customer needs into intelligent capabilities that deliver measurable business value
Drive engineering by establishing high standards for code quality, observability, testing, MLOps, and secure deployment practices
Proactively identify technology gaps, evaluate emerging AI frameworks/tools (including open-source and Azure AI offerings), and champion adoption where appropriate
Proactively identify technology gaps, evaluate emerging AI frameworks/tools (including open-source and Azure AI offerings), and champion adoption where appropriate
Qualification
Required
Bachelor's Degree in Computer Science or related technical field AND 2+ 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
Preferred
8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
2+ years of experience delivering AI/ML-based systems at production scale including LLMs, transformers, RAG pipelines, or similar architectures
1+ year of experience leading engineering teams or cross-functional initiatives involving AI systems in cloud environments
1+ year of experience designing and deploying AI-first applications at scale focusing on performance, privacy, compliance, and operational constraints in enterprise SaaS
1+ year of experience in MLOps/LLMOps, including model versioning, retraining pipelines, A/B testing, monitoring, and rollout strategies
1+ year of experience with cloud platforms (preferably Azure) and experience deploying containerized AI services using Kubernetes, Docker, or similar
1+ year of experience integrating models from Azure AI, OpenAI, HuggingFace, or custom-trained models into scalable application pipelines
1+ year of experience working in highly regulated or secure environments, including Zero Trust, privacy, and compliance practices
1+ year of experience working with or building solutions for customer service, CRM, or enterprise productivity scenarios
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
10001+ employees
H1B Sponsorship
Microsoft has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (9192)
2024 (9343)
2023 (7677)
2022 (11403)
2021 (7210)
2020 (7852)
Funding
Current Stage
Public CompanyTotal Funding
$1MKey Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M
Leadership Team
Satya Nadella
Chairman and CEO
Vukani Mngxati
Chief Executive Officer - Microsft South Africa
Recent News
2026-01-16
Morningstar.com
2026-01-16
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