Cloud / AI Architect

Eliassen Group; United States; Remote; USD 124,000 - 138,000; Full time

Benefits offered by this job

Medical benefits

401k with company matching

Life insurance

Job summary

Eliassen Group is seeking an experienced AI/Cloud Architect to lead architecture, design, and implementation of enterprise-scale agentic AI solutions and automation platforms.

Responsibilities include building production-ready AI pipelines, defining standards, and guiding cross-functional teams across AWS/GCP ecosystems. Excellent communicator with stakeholder management skills is required.

Qualifications

• 10+ years of experience in cloud architecture, software engineering, data platforms, or related technical fields.

Responsibilities

• Lead the architecture, design, and implementation of enterprise-scale Agentic AI solutions and intelligent workflow automation platforms.

Skills

Cloud architecture

AWS Agent Core

RAG architectures

Vector databases

LLMs

Agent orchestration

API integration

Technical leadership

Production pipelines

Education

Bachelor's degree in CS/IT/Engineering

Master's degree preferred

Cloud & AI certifications desirable

Tools

AWS Agent Core

Google Cloud Platform

Vector search tech

Agent orchestration tools

Job description

Description:

Remote

Our client is a leading Fortune 100 telecommunications and connectivity organization focused on modernizing enterprise platforms through advanced cloud and artificial intelligence initiatives. As part of a strategic AI enrichment program, the organization is building a scalable agentic AI platform that will enhance business workflows across multiple departments and drive intelligent automation at enterprise scale.

We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $90.00 to $100.00/hr. w2

JN -092026-108760

Responsibilities:

• Lead the architecture, design, and implementation of enterprise-scale Agentic AI solutions and intelligent workflow automation platforms.
• Build proof-of-concept and production-ready AI pipelines leveraging AWS Agent Core and modern agent-based architectures.
• Design and implement Retrieval-Augmented Generation (RAG) frameworks to support scalable enterprise knowledge retrieval and AI-driven decision-making.
• Define architectural standards, patterns, and best practices for AI agents, orchestration workflows, vector search, and enterprise data integration.
• Evaluate and recommend cloud platform strategies across AWS, GCP, and other emerging AI ecosystem technologies.
• Collaborate with business and technical stakeholders to translate complex requirements into scalable AI solutions.
• Provide technical leadership while remaining hands-on with prototyping, pipeline development, and solution implementation.
• Partner with cross-functional teams to identify opportunities for AI-driven process optimization and workflow enrichment.
• Communicate complex technical concepts to technical and non-technical audiences, including customer-facing discussions and executive-level presentations.
• Support enterprise adoption of AI capabilities through architecture reviews, technology assessments, and implementation guidance.

Experience Requirements:

• 10+ years of experience in cloud architecture, software engineering, data platforms, or related technical fields.
• Proven experience architecting and delivering enterprise AI/ML solutions in large-scale environments.
• Strong hands-on experience with AWS Agent Core and building Agentic AI frameworks, workflows, and orchestration pipelines.
• Experience designing, implementing, and scaling Retrieval-Augmented Generation (RAG) architectures in enterprise environments.
• Demonstrated ability to develop proof-of-concept solutions and transition them into scalable production platforms.
• Experience evaluating or implementing cloud-native AI solutions across AWS and/or Google Cloud Platform (GCP).
• Strong understanding of large language models (LLMs), vector databases, embeddings, prompt engineering, and agent orchestration patterns.
• Experience integrating AI solutions with enterprise applications, APIs, and data ecosystems.
• Prior experience serving in an Architect, Principal Engineer, or similar technical leadership role.
• Exceptional communication and stakeholder management skills with the ability to simplify technical concepts for business audiences.

Preferred Qualifications

• Experience building internal AI platforms or AI Centers of Excellence.
• Knowledge of AI governance, security, scalability, and operational best practices.
• Experience with modern AI frameworks, agent orchestration tools, and vector search technologies.
• Telecommunications or large enterprise experience is a plus.

Education Requirements:

• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
• Master's degree in Computer Science, Artificial Intelligence, Engineering, or a related discipline preferred.
• Relevant cloud and AI certifications are highly desirable.