Principal Software Engineer, CoreAI

Microsoft

Quick summary

Work type: On-site
Location: CANY
Salary: $142,800–$274,800 / yr
Posted: 2 days ago
Closes: Dec 26, 2026
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $203k

This role $209k

$127k most similar roles pay here $291k

This role pays more than 53% of similar roles. Most pay $182,000–$223,750 — the shaded band above. At the midpoint, this role pays about $209k versus about $203k 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 377 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 355 roles with salary data.

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At a glance

TL;DR · Principal Software Engineer, CoreAI

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As a Principal Engineer on the Azure Content Understanding team, you will lead the design and development of end-to-end multimodal AI systems that transform unstructured data into actionable insights. Your day-to-day responsibilities include building production-grade generative AI solutions, defining technical designs for core capabilities like retrieval-augmented generation, and ensuring robust testing and compliance with Responsible AI standards. You will collaborate closely with security and privacy teams to build enterprise-ready solutions, provide mentorship to junior engineers, and partner with product and customer teams to drive adoption through documentation and samples. The role requires expertise in prompt engineering, MLOps practices, and experience building scalable AI products in cloud environments, particularly Azure.

Skills

Azure Kubernetes Python Java JavaScript TypeScript TensorFlow PyTorch Docker CI/CD MLOps Prometheus Grafana PostgreSQL Redis Git GitHub Swagger RESTful APIs JSON YAML

What you'll do

Design, build, and operate production-grade generative AI and multimodal systems.
Lead technical design for core GenAI capabilities, balancing quality, latency, cost, and safety.
Define and enhance model/system quality through evaluation frameworks and robust testing.
Ensure solutions meet enterprise security, privacy, and compliance standards.
Provide technical leadership by setting direction, reviewing designs, and mentoring engineers.

What we're looking for

Advanced degree in Computer Science, Machine Learning, or related field.
Proven leadership in designing and mentoring AI systems.
Expertise in prompt engineering, RAG, and memory frameworks.
Experience building and deploying generative AI systems at scale.
Knowledge of enterprise compliance and security standards for AI.
Background in MLOps practices for cloud-based ML/AI systems.

Hybrid

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