As a Senior AI Engineer, you will lead the architecture and implementation of enterprise-scale AI systems on Microsoft Azure.
You'll drive technical decisions, establish AI engineering standards, and work closely with principal engineers to shape the strategic direction of AI infrastructure across Quest's Saa S platform.
-Bachelor's/Master's degree in Computer Science, Engineering, or related field -8+ years of software engineering experience with 3+ years focused on AI/ML systems -Expert-level experience with Python, C#/.
NET, and Azure AI services (Azure ML, Azure Open AI) -Proven experience designing and implementing production ML systems and MLOps practices -Strong background in containerization, microservices, and cloud-native architecture Nice to Have: -Experience with multi-tenant Saa S architecture and enterprise security frameworks -Leadership experience and mentoring capabilities -Knowledge of responsible AI practices and compliance requirements Company Overview Quest Software builds the foundation for enterprise AI with solutions in data governance, cybersecurity, and platform modernization.
More than 45,000 companies including 90% of the Fortune 500 trust Quest to solve their most critical IT challenges.
From securing identities and modernizing platforms to preparing data for AI, we help enterprises unlock their full potential.
Why Quest At Quest, your work makes an impact.
Youll help organizations get AI-ready while building your career with a global team of innovators.
We offer: Competitive pay, annual bonuses, and top-performer recognition.
Comprehensive health, family, and retirement benefits.
Flexible work options, generous PTO, and wellness programs.
Professional growth through learning platforms, mentorship, and leadership programs.
Inclusive teams that reflect the world we serve, supported by Employee Resource Groups and our Equality & Inclusion Council.
Skills: AI/ML, Python, Azure AI Services, C#