Remote AI Solutions Architect — Pre-Sales & Delivery

FullStack; Juneau (AK); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive salary

Paid time off

Remote work

401(k) with 4% match

Continuing education opportunities

Job summary

FullStack is seeking an experienced Solutions Architect to lead client-facing engagements, drive pre-sales initiatives, and design AI-enabled architectures. You will collaborate with prospects to shape technical proposals and translate business goals into scalable, secure technical roadmaps.

The role requires deep expertise in JavaScript/TypeScript, Python for AI, and multi-cloud deployments across AWS, Azure, and GCP.

Qualifications

• 10+ years of professional software engineering and architectural leadership.
• Fluent English for direct international client engagement.
• Experience in pre-sales engineering or client-facing advisory roles.

Responsibilities

• Lead solution architecture for complex web/mobile applications and cloud migrations.
• Architect scalable full-stack systems using JavaScript/TypeScript (Node.js, React) and Python for AI integration.
• Design multi-cloud environments across AWS, Azure, and GCP with CI/CD, microservices, and API best practices.
• Mentor development teams and enforce code quality and architectural standards.
• Translate business requirements into technical roadmaps and ROI-focused proposals.

Skills

JavaScript/TypeScript

Python

AWS

Azure

GCP

Client engagement

Pre-sales

AI tooling

Agile decision-making

Sales & consultation

Education

Bachelor's degree in Computer Science/Software Engineering or related field

Tools

Node.js

React

Job description

FullStack is seeking an experienced Solutions Architect to lead client-facing engagements, drive pre-sales initiatives, and design AI-enabled architectures. You will collaborate with prospects to shape technical proposals and translate business goals into scalable, secure technical roadmaps.

The role requires deep expertise in JavaScript/TypeScript, Python for AI, and multi-cloud deployments across AWS, Azure, and GCP.