Solution Architect

Job not on LinkedIn

🕒 March 4

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

👻 Ghost score 60%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Codvo.ai

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🤖 Artificial Intelligence

🔒 Cybersecurity

☁️ SaaS

Artificial Intelligence • Cybersecurity • SaaS

Codvo. ai is a technology company that specializes in delivering strategic enterprise solutions through advanced AI-driven innovation. They focus on transforming enterprise data into measurable value by helping businesses accelerate growth with custom AI implementations tailored to meet the specific challenges of various industries. Their extensive service offerings include AI/ML automation, application development, data analytics, cybersecurity, and digital transformation, ensuring that organizations can thrive in a rapidly evolving digital landscape.

📋 Description

• Technical lead for the delivery team • Translate architecture decisions into implementation tasks • Review all technical deliverables • Primary escalation point for integration issues • Work closely with the on-site Data Scientist • Maintain the detailed technical design document • Design protocol bridge configuration for each site's BMS • Design tag mapping pipeline • Define the CI/CD pipeline for platform deployments • Design monitoring and observability stack • Conduct code reviews for all platform changes • Define and enforce coding standards and expectations • Own integration test strategy • Troubleshoot production issues • Run daily standups with the offshore team

🎯 Requirements

• 8+ years in backend systems, distributed architectures, or industrial data platforms • Experience with Python, FastAPI or Flask, PostgreSQL/TimescaleDB, MQTT, and container orchestration (Docker, Kubernetes) • Familiarity with MLflow, model serving patterns, and ML pipeline design • Understanding of BMS protocols (OPC-UA, BACnet) • Experience leading a delivery team of 4–6 engineers across time zones