Client-Facing Field AI Deployment Engineer

CloudFactory; Seattle (WA); On-site; USD 110,000 - 150,000; Full time

Job summary

CloudFactory, an AI enablement company, is seeking a hands-on engineer to design and implement scalable integrations between client systems and the CloudFactory platform. You will define production-ready workflows and ensure AI systems move from experimentation to reliable deployment.

This role blends engineering with product and client-facing responsibilities, building APIs, data pipelines, and tooling; you will lead technical discovery sessions, support pre-sales validation, and influence

Qualifications

• 2+ years of software engineering experience.
• Proficiency in Python and Go.
• Experience with cloud platforms (AWS/GCP/Azure).
• Experience building APIs and distributed systems.
• Familiarity with AI tools and ML lifecycle.
• Ability to communicate with senior stakeholders.

Responsibilities

• Design and implement integrations between client systems and CloudFactory's platform.
• Define production-ready workflows and scalable architectures.
• Build APIs, data pipelines, and automation tooling.
• Collaborate with Delivery and Field Product teams to ensure feasibility and reliability.
• Lead technical discovery sessions and support pre-sales validation.

Job description

CloudFactory, an AI enablement company, is seeking a hands-on engineer to design and implement scalable integrations between client systems and the CloudFactory platform. You will define production-ready workflows and ensure AI systems move from experimentation to reliable deployment.

This role blends engineering with product and client-facing responsibilities, building APIs, data pipelines, and tooling; you will lead technical discovery sessions, support pre-sales validation, and influence