Microsoft · 12 hours ago
Principal Applied AI Engineer
United States, Washington, Redmond
Full-time
Hybrid
Senior Level, Lead/Staff
$140K/yr - $275K/yr
6+ years expMicrosoft is a global leader in technology, and they are seeking a Principal Applied AI Engineer to drive the architecture, design, and implementation of AI-first experiences across the Dynamics 365 Sales and Service platform. This role requires deep AI/ML expertise and modern software engineering excellence to create intelligent, scalable solutions that enhance customer service operations.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
No H1B
U.S. Citizen Only
Responsibilities
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
Qualification
Required
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
Preferred
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
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
10001+ employees
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
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