Remote Cloud & AI Architect for Enterprise Agentic AI

Eliassen Group; Salem (OR); Remote; USD 124,000 - 138,000; Full time

Job summary

Eliassen Group is seeking a Cloud / AI Architect for a remote contract role focused on building enterprise-scale Agentic AI platforms. The role emphasizes designing AI pipelines, RAG frameworks, and scalable architecture across AWS, GCP, and related technologies.

Strong leadership, hands-on development, and collaboration with business stakeholders are key. The ideal candidate has 10+ years in cloud and AI, deep experience with AWS Agent Core, LLMs, vector databases, and enterprise data

Qualifications

• 10+ years in cloud architecture or related fields.
• Proven experience with enterprise AI/ML solutions.
• Hands-on experience with AWS Agent Core and agent-based architectures.

Responsibilities

• Lead the architecture, design, and implementation of enterprise-scale Agentic AI solutions.
• Build proof-of-concept and production-ready AI pipelines using AWS Agent Core.
• Design Retrieval-Augmented Generation (RAG) frameworks for scalable knowledge retrieval.
• Define standards and best practices for AI agents, orchestration, and data integration.
• Evaluate cloud platform strategies across AWS, GCP and other AI ecosystems.
• Collaborate with stakeholders to translate requirements into scalable AI solutions.
• Provide technical leadership while doing prototyping and pipeline development.
• Partner with cross-functional teams to optimize AI-driven workflows.
• Communicate complex concepts to both technical and non-technical audiences.

Skills

Cloud architecture

AI/ML

AWS

GCP

RAG

LLMs

Data integration

Stakeholder comm

Education

Bachelor's degree in CS/IT/Engineering

Master's degree preferred

Cloud/AI certifications desirable

Tools

Agent Core

Vector search

APIs integration

Kubernetes

Job description

Eliassen Group is seeking a Cloud / AI Architect for a remote contract role focused on building enterprise-scale Agentic AI platforms. The role emphasizes designing AI pipelines, RAG frameworks, and scalable architecture across AWS, GCP, and related technologies.

Strong leadership, hands-on development, and collaboration with business stakeholders are key. The ideal candidate has 10+ years in cloud and AI, deep experience with AWS Agent Core, LLMs, vector databases, and enterprise data