Forward-Deployed AI Deployment Engineer

Titan; San Francisco (CA); Presencial; USD 140.000 - 190.000; Jornada completa

Descripción de la vacante

Titan is seeking Forward Deployed Engineers to lead deployments end to end with MSP and enterprise partners. You will own discovery, scoping, build, and production rollout, working directly with partner IT teams.

You’ll architect integrations, write production code, and deploy agents at scale, then engage leadership to shape outcomes. You will measure success by adoption in production, impact on operations, and feedback to evolve the platform and agents, coordinating with engineers, Operations,

Formación

• 3+ years in engineering or technical deployment, including customer-facing work.
• Proven ability to ship complex systems in fast-moving environments.
• Experience with TypeScript or Python in production.
• Experience with LLM-powered systems and how model behavior affects UX.

Responsabilidades

• Own technical delivery across partner and customer deployments, from first integration to stable production.
• Define the problems needing solving in each deployment and scope what to build to solve them.
• Build performant and reliable agents, integrations, and systems each deployment needs.
• Embed with portfolio teams and customers, understand how they work, and drive adoption of the tools you build.
• Architect and build the high-quality software systems that power Titan's core platform.
• Turn what works in one deployment into tools, playbooks, and building blocks the next one can reuse.

Conocimientos

Engineering/deployment

Production-grade code

TypeScript

Python

LLM-powered systems

Customer-facing communication

Descripción del empleo

Titan is seeking Forward Deployed Engineers to lead deployments end to end with MSP and enterprise partners. You will own discovery, scoping, build, and production rollout, working directly with partner IT teams.

You’ll architect integrations, write production code, and deploy agents at scale, then engage leadership to shape outcomes. You will measure success by adoption in production, impact on operations, and feedback to evolve the platform and agents, coordinating with engineers, Operations,