AI Engineer - Enterprise AI Enablement (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI Engineer – Enterprise AI Enablement in the United States. This role offers an exciting opportunity to design, implement, and manage advanced AI-driven cloud solutions within a global enterprise environment. As an AI Engineer, you will leverage your expertise in Microsoft Azure—particularly Azure AI Foundry—to build scalable, secure, and intelligent systems that support critical business operations. You’ll collaborate closely with cross-functional teams, ensuring seamless integration of cloud infrastructure, AI models, and enterprise applications. This position is ideal for a technically skilled professional passionate about innovation, automation, and the transformative potential of artificial intelligence in business.

Accountabilities:

• Design, develop, and maintain secure and efficient Azure-based infrastructure to support enterprise AI applications.
• Build and optimize AI-driven solutions using Azure AI Foundry aligned with business and operational goals.
• Implement and manage identity and access protocols through Azure Entra to ensure compliance and data protection.
• Configure and monitor Azure networking elements such as virtual networks, load balancers, and VPNs to guarantee reliability and performance.
• Automate infrastructure provisioning using Terraform or ARM templates for consistency and scalability.
• Oversee deployment, lifecycle management, and performance optimization of Azure resources including compute, storage, and databases.
• Collaborate with cross-functional teams to ensure AI solutions are well-integrated, cost-efficient, and secure.
• Troubleshoot infrastructure challenges and continuously improve system reliability and innovation capacity.
• Bachelor’s degree in Computer Science, Information Technology, or a related discipline.

3–5 years of hands-on experience in cloud engineering with a strong focus on Microsoft Azure environments. Expertise in Azure services including AI Foundry, Landing Zone implementation, and identity management. Practical experience with Infrastructure as Code tools such as Terraform or ARM templates. Strong understanding of enterprise-level networking, security, and compliance within Azure. Excellent problem-solving and troubleshooting skills with attention to scalability and efficiency. Strong communication and teamwork abilities, capable of collaborating across diverse technical and business units. Competitive base salary in the range of $75,000 to $95,000, depending on experience and qualifications. Eligibility for a discretionary performance-based bonus. Comprehensive benefits package including health coverage, paid leave, vacation time, and retirement plans. Opportunities for professional growth in enterprise AI, cloud architecture, and digital innovation. Collaborative and inclusive culture emphasizing continuous learning and cross-functional impact. Hybrid flexibility and access to cutting-edge Azure AI tools and infrastructure. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1