Note: The job is a remote job and is open to candidates in USA. nTech Workforce is a forward-thinking enterprise AI Center of Enablement, seeking an AI Platform Engineer to design and operationalize next-generation AI infrastructure. The role involves transitioning conceptual architectures into secure, scalable components to power AI initiatives across the organization.

Responsibilities

• Implement enterprise AI platform capabilities and technical reference architectures within a cloud infrastructure
• Build and scale reusable AI platform services, shared software components, and robust integrations
• Develop and support agentic AI reference architectures, utilizing agents with Model Context Protocol (MCP) A to A integrations
• Partner closely with enterprise architecture, cloud engineering, security, governance, and operations teams to safely operationalize AI workflows
• Troubleshoot complex integrations and build out telemetry, monitoring, and event-driven architectures

Skills

• 5+ years of software engineering experience coupled with a strong engineering mindset and industry best practices
• 5+ years of experience in cloud platform engineering, with a minimum of 2 years specifically focused on Azure (or an equivalent cloud architecture like AWS with demonstrated ability to transfer cloud concepts instantly)
• 1+ years of substantial, hands-on experience building and deploying AI platform capabilities, with concrete projects to show mastery
• Strong programming proficiency with Python
• Direct experience developing event-driven architectures, message-based integrations, and configuring monitoring tools such as Splunk
• Strong soft skills including the ability to deal with ambiguity, manage quick turnarounds, and maintain excellent cross-team communication
• Hands-on experience working directly with agentic AI models and workflows
• Experience implementing Model Context Protocol (MCP) configurations
• Multi-cloud familiarity spanning both Azure and AWS platforms

Benefits

• Contract Duration: W2 Contract, 6-Month (potential for extension)
• 100% Remote

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