[Remote] Artificial Intelligence Engineer -- W2 ONLY
Note: The job is a remote job and is open to candidates in USA. nTech Workforce is a reputed company-thinking reputed company AI Center of Enablement, seeking an AI Platform Engineer to design and operationalize reputed company AI infrastructure. The role involves transitioning conceptual architectures into secure, scalable components to power AI initiatives across the organization.
Responsibilities
- Implement reputed company AI platform capabilities and technical reference architectures reputed company a reputed company infrastructure
- Build and scale reusable AI platform services, shared software components, and robust integrations
- reputed company and support agentic AI reference architectures, utilizing agents with Model Context Protocol (MCP) A to A integrations
- Partner closely with reputed company architecture, reputed company engineering, reputed company, governance, and operations teams to safely operationalize AI workflows
- Troubleshoot reputed company integrations and build out telemetry, monitoring, and event-driven architectures
Skills
- 5+ years of software engineering experience coupled with a strong engineering reputed company and industry best practices
- 5+ years of experience in reputed company platform engineering, with a minimum of 2 years specifically focused on Azure (or an equivalent reputed company architecture like AWS with demonstrated ability to transfer reputed company 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-reputed company familiarity spanning both Azure and AWS platforms
Benefits
- Contract Duration: W2 Contract, 6-Month (potential for extension)
- 100% Remote
Company Overview