Senior Forward-Deployed AI Engineer — Hybrid/On-Prem

Trinity Technology Solutions LLC; San Mateo (CA); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Trinity Technology Solutions LLC is seeking a Forward Deployed AI Engineer (Post-Sales) to guide customers through deployment, operation, and adoption of Client-AI’s platform in complex on-prem or hybrid environments. You will own technical deployments and drive adoption across accounts in collaboration with Sales, Engineering, and Research.

You will design scalable workflows, optimize multi-cloud/hybrid deployments (AWS, GCP, Azure, and on-prem Kubernetes), and translate customer requirements

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

SQL

Kubernetes

Distributed systems

Solution architecture

Cloud platforms

Technical program delivery

Tools

Terraform

Ansible

Job description

Trinity Technology Solutions LLC is seeking a Forward Deployed AI Engineer (Post-Sales) to guide customers through deployment, operation, and adoption of Client-AI’s platform in complex on-prem or hybrid environments. You will own technical deployments and drive adoption across accounts in collaboration with Sales, Engineering, and Research.

You will design scalable workflows, optimize multi-cloud/hybrid deployments (AWS, GCP, Azure, and on-prem Kubernetes), and translate customer requirements