Role: Forward Deployed AI Engineer – Post Sales
Location: San Mateo, CA Onsite ( Local candidates )
Employment Type: Full-Time
JD:
This is a highly technical, customer-facing post-sales position. The engineer will work directly with strategic customers to deploy, operate, and scale the client’s AI platform across on-prem, hybrid, and cloud environments while acting as a trusted technical advisor.
Key Responsibilities
- Own customer onboarding, deployment, production rollout, architecture, and long-term technical adoption.
- Work directly with Sales, Engineering, and Research teams to translate customer requirements into technical solutions.
- Design scalable and secure infrastructure across compute, storage, networking, and distributed systems.
- Deploy and optimize platforms across AWS, GCP, Azure, and on-prem Kubernetes environments.
- Troubleshoot complex customer infrastructure and deployment issues end-to-end.
- Provide deployment progress, workload health, usage metrics, and executive-level customer updates.
Must-Have Requirements
- 5+ years in Solution Architecture, Customer Engineering, Technical Consulting, Technical Program Delivery, or similar technical roles.
- Strong experience with distributed systems, data infrastructure, hybrid/on-prem infrastructure.
- Hands-on experience with ML/AI workloads or infrastructure.
- Strong experience with Kubernetes.
- Strong cloud experience across AWS, GCP, and Azure, including compute, storage, networking, and IAM.
- Programming/scripting experience with Python, SQL, or similar languages.
- Experience with networking, data pipelines, backend infrastructure, and production deployments.
- Strong experience adapting distributed platforms across different infrastructure environments.
- Experience with Infrastructure-as-Code and configuration management.
- Strong customer-facing communication and ability to manage multiple technical/business stakeholders.