M

Principal AI Engineer

Microsoft
Full-time
On-site
Redmond
$139,900 - $139,900 USD yearly
Overview

of the role: We are looking for a Principal AI Engineer to join the Commerce Financial Platform organization. The team builds intelligent, scalable services & experiences that power Microsoft’s commerce needs end-to-end. We’re accelerating a new era of AI driven business applications—grounded in data, built for collaboration, and designed to simplify complex workflows across CRM/ERP scenarios. If you’re excited to shape how people interact with AI at enterprise scale, continuously improve processes and deliver products Qualifications

Required 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 PythonOR equivalent experience.​ 4+ years experience with large language models (LLMs) and generative AI Preferred Qualifications: ​​Master'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 PythonOR 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 PythonOR equivalent experience. Experience with

agentic systems , model/tool orchestration, and/or retrieval augmented generation (RAG). Expertise with

Azure AI , vector stores, prompt/response evaluation, and performance optimization for LLM workloads. Track record of

shipping applied research to production

and partnering with research teams on custom/finetuned models. Familiarity with Responsible AI practices and inclusive design/accessibility standards. Ability to

influence across teams

and drive ambiguous, multi-partner initiatives to outcomes. Handson experiences taking

LLM/ML features from prototype to production

(evaluation, safety, telemetry, and iterative improvement). 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. Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until October 17, 2025., Year.

#C+E #JoinCFP Responsibilities

Responsibilities : Design and ship AI systems end-to-end —from exploration to production—spanning LLM based services, retrieval/grounding pipelines, and robust evaluation/observability. Build agentic tools using workflows

that reason across data and services, optimizing for safety, latency, and cost at cloud scale (Azure preferred). Collaborate across research and product teams

to adapt/finetune models (LLMs/SLMs, multimodal) for real customer scenarios. Lead technical direction

across features and services; mentor engineers; champion high engineering standards, reliability, and accessible, inclusive experiences. Uphold Responsible AI, secure and compliance

practices in design, data handling, and experimentation. Participate in

on call/operational excellence

as part of a healthy, sustainable engineering culture; lead by example. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect