| Microsoft Careers

Microsoft

Quick summary

Work type: On-site
Location: US
Salary: $119,800–$234,700 / yr
Posted: 61 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $180k

This role $177k

$106k most similar roles pay here $248k

This role pays more than 64% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $177k versus about $180k for comparable roles.

Based on 239 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 1577 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1405 roles with salary data.

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At a glance

TL;DR · | Microsoft Careers

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As a Senior Applied AI Engineer on the Customer Service Applications Team, you will collaborate closely with product and research teams to develop cutting-edge AI technologies that enhance Microsoft products. Your daily responsibilities include researching and implementing state-of-the-art techniques such as foundation models, prompt engineering, and multi-agent architectures, while also fine-tuning these models for specific domains and evaluating their performance rigorously. You will build rapid prototypes, contribute to production deployment, and ensure ethical practices throughout the development lifecycle. The role requires expertise in Python, AI-first IDEs, and a deep understanding of AI subfields like NLP and multi-modal models. With a focus on generative AI solutions and large language models, you will address complex business problems using modern frameworks and open-source libraries, ensuring scalable and efficient deployments.

Skills

Python MLOps CI/CD LangChain PromptFlow NLP DeepLearning GenerativeAI LLMs AIOps FoundationModels RAG MultiAgentArchitectures XPIA PostgreSQL Kubernetes AWS Azure

What you'll do

Research and implement state-of-the-art AI techniques using foundation models, prompt engineering, and classical machine learning.
Fine-tune foundation models on domain-specific datasets to improve relevance, reduce bias, and enhance response quality.
Build rapid AI solution prototypes and contribute to their production deployment, ensuring efficient scalability and performance.
Translate cutting-edge research into practical solutions that address customer needs through A/B testing and telemetry analysis.
Ensure responsible AI practices by identifying and mitigating ethical, privacy, and security risks throughout the development lifecycle.

What we're looking for

At least 1 year of experience with generative AI or LLM/ML algorithms
Deep expertise in AI subfields such as deep learning, NLP, multi-modal models
Proven programming skills in Python or similar languages for AI development
Experience translating cutting-edge research into practical real-world solutions
Strong understanding and application of responsible AI practices throughout lifecycle
Ability to design, develop, and integrate generative AI solutions using foundation models

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