Client-Facing AI Deployment Engineer

CloudFactory; Dallas (TX); On-site; USD 100,000 - 170,000; Full time

Benefits offered by this job

Relocation assistance

Travel opportunities

Job summary

CloudFactory is an AI enablement company that helps enterprises deploy AI at scale. You will work directly with strategic clients to design and implement scalable integrations, define production-ready workflows, and ensure AI systems move from research to reliable deployment.

This hands-on role blends engineering with product leadership: build APIs and data pipelines, troubleshoot client environments, and surface field insights to influence roadmap priorities and platform improvements.

Qualifications

• 2+ years software engineering experience.
• Strong proficiency in Python and Go.
• Proficiency with Claude and AI tools.
• Experience with cloud infrastructure (AWS/GCP/Azure).
• Experience building APIs and distributed systems.
• Familiarity with AI/ML lifecycle (training → inference → evaluation).
• Ability to translate ambiguity into architecture.
• Excellent communication with technical stakeholders.

Responsibilities

• Design and implement scalable AI deployment architectures.
• Translate PoCs into scalable production workflows.
• Build APIs, connectors, and data pipelines; debug in client environments.
• Lead technical discovery sessions and support pre-sales validation.
• Act as trusted advisor to enterprise engineering teams.

Skills

Python

Go

APIs

Distributed systems

Systems thinking

Stakeholder communication

Tools

Claude AI tools

AWS

GCP

Azure

APIs (REST/GraphQL)

Job description

CloudFactory is an AI enablement company that helps enterprises deploy AI at scale. You will work directly with strategic clients to design and implement scalable integrations, define production-ready workflows, and ensure AI systems move from research to reliable deployment.

This hands-on role blends engineering with product leadership: build APIs and data pipelines, troubleshoot client environments, and surface field insights to influence roadmap priorities and platform improvements.