Forward Deployed Engineer (FDE)

FORWARD DEPLOYED AI ENGINEER (POST-SALES)

Location: San Mateo,CA, HYBRID

Employment Type: Full-time

We are looking for a highly technical, customer-obsessed Forward Deployed AI Engineer (Post Sales) to guide customers through the deployment, operation, and adoption of Client-AI’s platform in complex on-prem or hybrid environments.

What You’ll Work On

 Lead customers through onboarding, deployment, and production rollout of Client-AI’s platform while serving as the technical owner for assigned accounts—driving architecture, execution, long-term adoption, and tailored technical success plans.

 Partner cross-functionally with Sales, Engineering, and Research to translate use-case requirements into actionable technical strategies, support early trials, relay customer feedback, and help shape roadmap priorities.

 Guide customers in designing scalable, secure workflows across compute, storage, networking, and distributed systems, providing ongoing reporting on deployment progress, workload health, usage metrics, and executive-level updates.

 Adapt and optimize Client-AI’s platform across AWS, GCP, Azure, and on-prem Kubernetes environments, handling provider-specific APIs, storage systems, networking configurations, and compute orchestration—including tuning performance for network topology, storage tiering, and resource allocation in each environment.

About You

 5+ years of experience in technical roles involving solution architecture, customer engineering, consulting, or technical program delivery.

 Strong background in distributed systems, data infrastructure, and/or on-prem or hybrid compute environments.

 Experience working with ML/AI workflows, designing or deploying systems involving Kubernetes, networking, data pipelines, or large-scale backend infrastructure.

 Proficiency in Python, SQL, or similar languages, with the ability to contribute to technical conversations and debug customer issues end-to-end.

 Experience leading complex technical projects with multiple stakeholders—translating business needs into clear architecture and execution plans.

 Deep hands-on experience with multiple cloud platforms (AWS, GCP, Azure) including their compute, storage, networking, and IAM services.

 Proven track record of adapting complex distributed systems to run across different infrastructure environments.

 Expertise in infrastructure-as-code and configuration management for multi-environment deployments.

Must travel to customer sites as needed to support critical deployments and customer engagements.

Thanks

Nithya