Remote AI Solutions Architect — Enterprise LLM & RAG Lead

Zohorecruit; Polska; Hybrid; PLN 469.000 - 704.000; Vollzeit

Zusammenfassung

Zohorecruit is seeking an experienced AI Solutions Architect to design and lead end-to-end AI implementations across enterprise environments. This remote role focuses on translating business objectives into scalable, secure architectures for LLM applications, retrieval-augmented generation, and advanced ML platforms.

You will collaborate with executives, product, data, and engineering teams to ensure solutions are technically sound, operationally scalable, and aligned with long-term strategy.

Qualifikationen

• 6+ years of experience in solution architecture or senior engineering roles.
• Strong cloud architecture experience in AWS, Azure, or GCP.
• Experience with LLM applications, RAG architectures, and vector databases.

Aufgaben

• Design end-to-end AI system architectures across AWS, Azure, or GCP.
• Architect LLM-based solutions including RAG, embedding, vector search, and tool integrations.
• Define scalable inference and model hosting strategies.
• Lead design reviews and guide engineering teams through implementation.
• Establish governance, security, and compliance standards for AI systems.
• Design data pipelines and integration patterns for AI workloads.
• Evaluate model providers, frameworks, and cost-performance trade-offs.
• Define monitoring strategies for model performance, drift, and reliability.
• Present architectural recommendations to technical and non-technical stakeholders.
• Drive best practices for AI deployment and lifecycle management.

Kenntnisse

AI system deployment

amazon web services

Tools

Docker

Jobbeschreibung

Zohorecruit is seeking an experienced AI Solutions Architect to design and lead end-to-end AI implementations across enterprise environments. This remote role focuses on translating business objectives into scalable, secure architectures for LLM applications, retrieval-augmented generation, and advanced ML platforms.

You will collaborate with executives, product, data, and engineering teams to ensure solutions are technically sound, operationally scalable, and aligned with long-term strategy.