A global technology and IT services leader is hiring a Member of Technical Staff, Enterprise AI — a remote, full-time role designing, building and deploying scalable AI systems for enterprise environments. The position offers a compensation range of $250K to $500K/yr and the opportunity to shape cutting-edge enterprise AI solutions from anywhere, including the UAE.
About the Role — Enterprise AI Systems Engineering
Core Focus: Designing, building and deploying scalable AI systems for enterprise environments
Collaboration: Working with cross-functional teams to integrate AI into existing technical infrastructure
Technical Scope: Machine learning pipelines, data ingestion, model training and production integration
Work Style: Fully remote, work-from-anywhere, full-time position
Career Opportunity & High-Impact Compensation
Compensation: $250K–$500K per year, among the highest-paying remote tech roles
Industry Leader: Work with a global leader in Software Development, IT Services and IT Consulting
High-Impact Projects: Exposure to cutting-edge AI technologies driving business transformation
Flexible Setting: Fully remote role open to engineers based anywhere, including the UAE
Position Overview
This Member of Technical Staff, Enterprise AI role involves developing and optimizing AI models for enterprise applications focused on performance, scalability and reliability, designing and implementing machine learning pipelines for data ingestion and model training, collaborating with software engineers to integrate AI components into production systems and APIs, evaluating and selecting AI frameworks and tools, and maintaining documentation including architecture diagrams and deployment procedures.
Why This Role Matters: As a Member of Technical Staff on Enterprise AI, you design and deploy AI systems that directly drive business transformation for enterprise clients, apply deep expertise in Python, TensorFlow, PyTorch or JAX to real production challenges, work across cloud platforms and MLOps tooling to ship reliable, scalable AI solutions, collaborate with cross-functional engineering teams on high-impact projects, and earn a top-tier compensation package while working fully remotely from anywhere, including the UAE.
Key Responsibilities
AI Model Development
- Develop and optimize AI models for enterprise applications, focusing on performance, scalability and reliability
ML Pipeline Design
- Design and implement machine learning pipelines to support data ingestion, processing and model training
Production Integration
- Collaborate with software engineers to integrate AI components into production systems and APIs
- Evaluate and select appropriate AI frameworks and tools to meet business and technical requirements
Documentation & Architecture
- Maintain documentation for AI systems, including architecture diagrams, model specifications and deployment procedures
🎓 Qualifications & Requirements
Educational Requirements
- Bachelor’s or advanced degree in Computer Science, Engineering or a related quantitative field
Experience Requirements
- 5+ years of experience in software development with a focus on AI or machine learning applications
Essential Skills
- Proficiency in Python, with experience in TensorFlow, PyTorch or JAX
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools for model deployment and monitoring
- Strong problem-solving skills and ability to design end-to-end AI solutions for complex enterprise challenges
About This Remote Enterprise AI Opportunity
This role connects experienced AI engineers with a global leader in Software Development, Technology, IT Services and IT Consulting, contributing to cutting-edge AI technologies that drive business transformation. Open to candidates working remotely from anywhere, including the United Arab Emirates, the position is reviewed solely on demonstrated technical ability and qualifications, welcoming all backgrounds as an equal opportunity employer.
Career Excellence: Build and deploy enterprise-scale AI systems remotely with top-tier compensation.
Who Should Apply?
- Senior AI/ML Engineers: With 5+ years building and deploying enterprise-scale AI systems
- Python/TensorFlow/PyTorch Specialists: Comfortable designing production-grade ML pipelines
- Cloud & MLOps Practitioners: Experienced with AWS, GCP or Azure model deployment
- Enterprise Software Engineers: Skilled at integrating AI components into existing infrastructure
- Remote-First Professionals: Seeking a high-compensation, fully remote AI engineering role
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