Cloud / AI Architect

Eliassen Group; City of Albany (NY); Remote; USD 124,000 - 138,000; Full time

Job summary

Eliassen Group is seeking a Cloud / AI Architect to lead enterprise-scale AI and workflow automation initiatives in a fully remote contract role. You will define standards for AI agents, data integration, and orchestration across AWS and GCP, while guiding cross-functional teams and stakeholders.

The position emphasizes hands-on prototyping, production pipelines, and scalable AI platforms within a Fortune 100 telecommunications context. Strong communication and leadership are essential.

Qualifications

• 10+ years of experience in cloud architecture, software engineering, data platforms, or related fields.
• Proven experience delivering enterprise AI/ML solutions in large-scale environments.
• Strong hands-on experience with AWS Agent Core and building Agentic AI pipelines.

Responsibilities

• Lead architecture, design, and implementation of enterprise-scale Agentic AI solutions and intelligent workflows.
• Build proof-of-concept and production AI pipelines leveraging AWS Agent Core and modern agent-based architectures.
• Design Retrieval-Augmented Generation (RAG) frameworks for scalable knowledge retrieval and AI-driven decisions.

Skills

Communication

Stakeholder management

Architectural leadership

Cloud architecture

Education

Bachelor's degree in Computer Science, IT, Engineering, Data Science

Master's degree in CS/AI/Engineering

Cloud/AI certifications desirable

Tools

AWS Agent Core

Agentic AI frameworks

RAG architectures

Vector search technologies

Job description

Cloud / AI Architect

Anywhere

Type: Contract

Category: Architecture

Industry: Communications

Workplace Type: Remote

Standard Hours: Open

Reference ID: JN -092026-108760

Date Posted: 09/23/2026

Shortcut: http://careers.eliassen.com/1Du2LS

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.

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.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.