Customer-Facing AI Deployment Architect

Reach Velocity - Emerging Technology ?? ??; California; On-site; USD 150,000 - 190,000; Full time

Job summary

Reach Velocity - Emerging Technology is seeking a Forward Deployed AI Engineer to lead customer deployments, production adoption, and technical integrations across cloud, on‑premises, and hybrid environments. You will serve as a trusted technical partner, translating customer requirements into scalable AI infrastructure solutions.

The role combines infrastructure engineering with customer-facing responsibilities, requiring strong collaboration with Sales, Research, and Engineering to drive

Qualifications

• 5+ years of experience across solution architecture, customer engineering, infrastructure engineering, technical consulting, or technical program delivery.
• Strong hands-on experience with distributed systems, data infrastructure, and cloud or hybrid compute environments.
• Experience deploying AI/ML workflows or complex back-end systems with Kubernetes, data pipelines, networking, and large-scale infrastructure.
• Strong proficiency in Python, SQL, or similar languages with end-to-end debugging abilities.

Responsibilities

• Lead customer onboarding, deployment, production rollout, and ongoing adoption of AI infrastructure platforms.
• Own technical engagements end to end, including solution architecture, deployment planning, and customer success.
• Design and optimize scalable, secure systems across compute, storage, networking, and distributed infrastructure.
• Deploy and adapt solutions across AWS, GCP, Azure, and on‑premises Kubernetes environments.
• Troubleshoot complex infrastructure issues involving networking, storage, compute orchestration, and performance optimization.
• Partner with Sales, Engineering, and Research teams to support technical evaluations, translate customer needs into solutions, and influence product roadmap priorities.
• Monitor deployment progress, workload health, resource utilization, and adoption metrics; communicate updates to technical and executive stakeholders.

Skills

Solution architecture

Distributed systems

Python

Kubernetes

Cloud platforms (AWS/GCP/Azure)

IaC

Stakeholder management

Travel willingness

Job description

Reach Velocity - Emerging Technology is seeking a Forward Deployed AI Engineer to lead customer deployments, production adoption, and technical integrations across cloud, on‑premises, and hybrid environments. You will serve as a trusted technical partner, translating customer requirements into scalable AI infrastructure solutions.

The role combines infrastructure engineering with customer-facing responsibilities, requiring strong collaboration with Sales, Research, and Engineering to drive