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AWS Solutions Architect – AI / GenAI

Transcend IT SolutionsUnited States🇺🇸United StatesPosted 9 Sept 2026

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
19 hours ago
AWSAzureCloudFormationGoogle CloudLLMTerraform

Job Description

Position: AWS Solutions Architect – AI / GenAI
Location: Remote
Duration: 12–18+ months contract
 
We are looking for an experienced AWS Solutions Architect to lead both technical delivery and client consulting—from discovery through go-live.
 
This is a hands-on, client-facing architecture role requiring strong AWS fundamentals, multi-cloud experience, infrastructure expertise, and practical GenAI/Agentic AI experience.
 
 Must-Have Skills
5+ years of experience as a Solutions Architect, with strong AWS expertise
Hands-on experience with AWS infrastructure architecture and migrations
Strong Terraform and/or CloudFormation experience
Experience across AWS, Azure, and Google Cloud
Enterprise/B2B experience with security, IAM, access controls, sandbox and production environments
Real-world experience delivering GenAI, LLM, Agentic AI, and AI automation solutions
Familiarity with agent frameworks such as LangChain, CrewAI, Claude Code Agents, or custom agent frameworks
Strong client-facing communication, consulting, and technical leadership skills
Experience leading distributed/offshore engineering teams
Ability to review architecture, infrastructure code, AI-generated code, and technical deliverables
Strong understanding of cost, security, scalability, performance, and maintainability
 Key Responsibilities
The Solutions Architect will:
 
Lead cloud infrastructure architecture, migrations, networking, security, IAM, and multi-account AWS environments
Lead GenAI and Agentic AI architecture and delivery
Drive technical discovery and validate customer environments
Review and approve Terraform/CloudFormation plans and architecture designs
Act as the client's trusted technical advisor
Lead customer meetings and technical presentations, including with executive stakeholders
Mentor engineering teams and ensure delivery quality
Manage technical risks, scope, timelines, and budget
Evaluate AWS AI services such as Amazon Bedrock and SageMaker, along with third-party AI platforms
Help customers move from POC to production-ready solutions

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