TL;DR
Principal Security Engineer (AI): Building and securing AI Platform services that power Copilot with an accent on secure coding standards, API design, infrastructure, and automated testing. Focus on solving novel security and privacy problems at the frontier of applied AI and agential systems, ensuring product and platform security.
Location: Hybrid. Expected to work from a designated Microsoft office at least four days a week if living within 50 miles (U.S.) of New York City.
Salary: USD $220,800 – $331,200 per year (New York City metropolitan area).
Company
hirify.global is focused on pushing the boundaries of AI, building systems with true artificial intelligence across agents, applications, services, and infrastructure.
What you will do
- Build secure and performant AI Platform services that power Copilot.
- Solve novel security and privacy problems at the frontier of applied AI and agential systems.
- Collaborate with Platform, infrastructure, application engineers, and AI Researchers to build next-generation AI products and services.
- Ship high-quality, well-tested, secure, and maintainable code.
- Find solutions despite roadblocks to deliver work quickly and iteratively.
- Work in a fast-paced, design-driven, product development cycle.
Requirements
- Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Nice to have
- 8+ years’ experience building scalable services, including securing applications and infrastructure on cloud platforms (Azure, AWS, or GCP).
- Familiarity with novel classes of attacks on AI-powered systems.
- Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
- Experience "engineering out" classes of bugs and/or vulnerabilities by building secure coding and systems interfaces.
- Experience working with AI platforms, frameworks, and APIs.
- Staying up to date with the latest research into attacks and defenses for AI-powered systems.
- Experience using Machine Learning frameworks, including deploying and scaling language learning models.
- Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
- Demonstrated interpersonal skills and ability to work closely with cross-functional teams.
- Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
- Passion for learning new technologies and staying up to date with industry trends in web development and AI.
- Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
- Proven ability to collaborate and contribute to a positive, inclusive work environment.
Culture & Benefits
- Foster a growth mindset, innovate to empower others, and collaborate to realize shared goals.
- Values of respect, integrity, and accountability.
- Create a culture of inclusion where everyone can thrive.
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