Remote Cloud & AI Architect – Enterprise AI Lead

Eliassen Group; Augusta (ME); Remote; USD 124,000 - 138,000; Full time

Benefits offered by this job

Medical, Dental, Vision benefits

401(k) with company matching

Life insurance

Job summary

Eliassen Group is seeking a Cloud / AI Architect for a remote, contract role. You will lead enterprise-scale AI initiatives, architecting scalable pipelines and agent-based workflows across AWS and GCP.

This position emphasizes hands-on prototyping, architectural governance, and collaboration with cross-functional teams. Ideal candidates have 10+ years in cloud and data platforms, experience delivering enterprise AI/ML projects, and strong communication with business stakeholders.

Qualifications

• 10+ years of experience in cloud architecture or data platforms.
• Proven experience delivering enterprise AI/ML solutions at scale.
• Hands-on with AWS Agent Core and agent-based pipelines.

Responsibilities

• Lead architecture, design, and implementation of enterprise-scale AI solutions and intelligent workflow platforms.
• Build POC and production AI pipelines using AWS Agent Core and agent-based architectures.
• Design Retrieval-Augmented Generation frameworks for scalable knowledge retrieval and AI-driven decisions.
• Define standards and best practices for AI agents, orchestration, vector search, and data integration.
• Evaluate cloud strategies across AWS, GCP, and emerging AI ecosystem technologies.
• Collaborate with stakeholders to translate requirements into scalable AI solutions.

Skills

Cloud architecture

AI/ML

Enterprise architecture

Communication

Leadership

Education

Bachelor’s degree in CS/IT/Engineering

Master’s degree in CS/AI/Engineering

Cloud/AI certifications

Tools

AWS

Google Cloud Platform

Agent Core

RAG frameworks

Vector databases

Job description

Eliassen Group is seeking a Cloud / AI Architect for a remote, contract role. You will lead enterprise-scale AI initiatives, architecting scalable pipelines and agent-based workflows across AWS and GCP.

This position emphasizes hands-on prototyping, architectural governance, and collaboration with cross-functional teams. Ideal candidates have 10+ years in cloud and data platforms, experience delivering enterprise AI/ML projects, and strong communication with business stakeholders.