Enterprise AI Deployment Engineer — Customer-Facing

Zof AI; San Francisco, Northern (CA, KY); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Zof AI seeks a Deployment Engineer to embed with enterprise customers and drive AI agent deployments across their environments. You will own the full lifecycle from scoping the problem to shipping a verified outcome, working closely with customers to design, deploy, and optimize agent integrations.

This senior, on-site role in San Francisco requires strong software engineering foundations, direct stakeholder communication, and the ability to operate in fast-moving, ambiguous settings.

Qualifications

• 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.

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.

Skills

Software engineering

Customer deployment

Stakeholder communication

Travel willingness

Ambiguity tolerance

On-site work

Job description

Zof AI seeks a Deployment Engineer to embed with enterprise customers and drive AI agent deployments across their environments. You will own the full lifecycle from scoping the problem to shipping a verified outcome, working closely with customers to design, deploy, and optimize agent integrations.

This senior, on-site role in San Francisco requires strong software engineering foundations, direct stakeholder communication, and the ability to operate in fast-moving, ambiguous settings.