Field AI Deployment Engineer — Client-Facing

CloudFactory; Boston (MA); On-site; USD 120,000 - 180,000; Full time

Job summary

CloudFactory is seeking a hands-on engineer to design and deploy scalable AI solutions for enterprise clients. You will build integrations, data pipelines, and production workflows, working closely with clients and delivery teams to move from proof-of-concept to reliable deployment.

The role emphasizes systems thinking, API development, and field insights to guide the product roadmap. Expect travel to client sites and collaboration with senior technical stakeholders in a fast-paced, globally

Qualifications

• 2+ years software engineering experience.
• Strong Python and Go proficiency.
• Experience with cloud infrastructure (AWS/GCP/Azure).
• Experience building APIs and distributed systems.
• Familiarity with AI tools like Claude.

Responsibilities

• Design integrations between client systems and CloudFactory's platform.
• Architect scalable AI and human-in-the-loop workflows.
• Define data ingestion, transformation, and feedback loops.
• Translate proof-of-concept AI into production-ready workflows.
• Lead technical discovery sessions and client workshops.

Skills

Python

Go

APIs

Distributed systems

Cloud platforms

Data pipelines

Tools

Claude

Job description

CloudFactory is seeking a hands-on engineer to design and deploy scalable AI solutions for enterprise clients. You will build integrations, data pipelines, and production workflows, working closely with clients and delivery teams to move from proof-of-concept to reliable deployment.

The role emphasizes systems thinking, API development, and field insights to guide the product roadmap. Expect travel to client sites and collaboration with senior technical stakeholders in a fast-paced, globally