Remote Cloud & AI Architect for Enterprise AI Platforms

Eliassen Group; Santa Fe (NM); Remote; USD 124,000 - 138,000; Full time

Benefits offered by this job

Remote work

W2 equivalent benefits

401k matching

Job summary

Eliassen Group is seeking a Cloud / AI Architect to lead the architecture, design, and implementation of enterprise-scale AI and automation platforms. This remote contract role focuses on agentic AI pipelines and cross-cloud strategies, with emphasis on AWS Agent Core, RAG, and vector search.

Strong leadership and hands-on capabilities are required to drive production-ready solutions. The ideal candidate has 10+ years in cloud architecture or related fields, with proven enterprise AI/ML delivery

Qualifications

• 10+ years of experience in cloud architecture or related fields.
• Proven delivery of enterprise AI/ML solutions at scale.
• Hands-on with AWS Agent Core and agentic AI pipelines.
• Experience with RAG architectures and vector search.
• Strong ability to translate complex requirements for stakeholders.

Responsibilities

• Lead architecture, design, and implementation of enterprise-scale AI solutions.
• Build PoC and production AI pipelines using agent-based architectures.
• Design RAG frameworks for scalable knowledge retrieval and decision-making.
• Define standards for AI agents, workflows, and data integration.
• Collaborate with stakeholders to translate requirements into scalable AI systems.
• Provide technical leadership while prototyping and delivering solutions.

Skills

AWS Agent Core

Agentic AI

Cloud architecture

LLMs

Vector databases

Workflow orchestration

Education

Bachelor's degree in Computer Science or related field

Master's degree preferred

Tools

AWS

GCP

Job description

Eliassen Group is seeking a Cloud / AI Architect to lead the architecture, design, and implementation of enterprise-scale AI and automation platforms. This remote contract role focuses on agentic AI pipelines and cross-cloud strategies, with emphasis on AWS Agent Core, RAG, and vector search.

Strong leadership and hands-on capabilities are required to drive production-ready solutions. The ideal candidate has 10+ years in cloud architecture or related fields, with proven enterprise AI/ML delivery