Deployment Engineer

Zof AI is seeking a Deployment Engineer to embed with enterprise customers and make AI agents work in their environment. This role owns the full arc from business intent to shipped outcome: scoping the real problem, deploying and optimizing agents in live customer systems, embedding them into enterprise platforms and workflows, and staying accountable until the outcome is delivered and verified. The ideal candidate is a strong engineer who thrives in front of customers and measures success in working systems, not demos.

Engineering · Senior · Full-time · On-site · San Francisco, CA

Responsibilities

• Embed with enterprise customers to deploy Zof AI in their environment.
• Own delivery from business intent to shipped, verified outcome.
• Integrate and optimize agents inside live customer systems and workflows.
• Embed agents into enterprise platforms such as CRMs, ITSM, and internal tools.
• Debug and harden deployments in environments you do not control.
• Translate customer constraints into product and platform feedback.
• Build reusable deployment patterns from repeated customer work.
• Be the technical face of Zof AI inside customer organizations.

Requirements

• Strong software engineering foundation.
• Experience deploying or integrating systems in customer environments.
• Ability to work directly with enterprise stakeholders.
• Comfort with ambiguity, legacy systems, and imperfect access.
• Strong ownership of outcomes, not just code.
• Clear written and verbal communication.
• Willingness to travel to customer sites when needed.
• Comfort operating in a fast-moving environment.

Nice to have

• Prior forward deployed, solutions, or professional services engineering experience.
• Experience with enterprise platforms like Salesforce, ServiceNow, or SAP.
• Experience deploying AI agents or LLM systems for customers.
• Experience in early-stage startups.

Must be able to design, deploy, and debug agent systems inside real customer environments