Cloud-Native Solution Architect for IoT, AI & Data

MACHINE LEARNING TECHNOLOGIES LLC; Duncanville (TX); On-site; USD 86,000 - 123,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Texas is seeking a hands-on Solution Architect to lead the modernization of an enterprise remote instrument monitoring platform in the life sciences and clinical diagnostics domain. The architect will define end-to-end cloud-native architecture and guide distributed engineering teams in the US, India, and Israel.

Responsibilities include designing secure IoT connectivity, AWS-based infrastructure, AI-enabled diagnostics and maintenance, and governance for

Responsibilities

• Define the platform architecture, technical roadmap, standards, integration patterns, and team boundaries.
• Design secure, reliable IoT connectivity for telemetry, events, remote commands, and large-file transfers across restricted and intermittently connected customer networks.
• Architect cloud infrastructure, preferably using AWS, and establish device onboarding, identity, authentication, and authorization standards.
• Lead data ingestion, event-driven processing, operational data stores, analytics, and scalable telemetry processing.
• Design AI-agent capabilities for diagnostics, predictive maintenance, anomaly detection, and service recommendations, including MCP/A2A integrations, RAG, evaluation, and guardrails.
• Establish AI governance, human approval controls, security, traceability, and compliance practices for regulated product development.
• Lead migration from legacy .NET Framework, ASP.NET, VB6/COM, and SQL Server systems, with coexistence, data verification, rollback, and decommissioning strategies.
• Define non-functional requirements and operational standards for resilience, performance, observability, disaster recovery, deployment, and cost management.

Job description

MACHINE LEARNING TECHNOLOGIES LLC in Texas is seeking a hands-on Solution Architect to lead the modernization of an enterprise remote instrument monitoring platform in the life sciences and clinical diagnostics domain. The architect will define end-to-end cloud-native architecture and guide distributed engineering teams in the US, India, and Israel.

Responsibilities include designing secure IoT connectivity, AWS-based infrastructure, AI-enabled diagnostics and maintenance, and governance for