Senior AI Solutions Architect - Post-Sales

REALM; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

REALM is seeking a senior post-sales engineer to own a portfolio of strategic enterprise accounts at the intersection of cloud-native infrastructure and AI workloads.

You will drive end-to-end technical issue resolution, guide architectural best practices, and run enablement sessions to build customer self-sufficiency, while feeding real production feedback to Product and Engineering.

Qualifications

• 5+ years in a customer-facing technical role (SA, CSE, SRE, or similar).
• Deep hands-on experience with Kubernetes, service mesh technologies, and API gateways/proxies.
• 1+ years with AI/ML technologies - LLMs, agentic frameworks, or AI infrastructure.
• A track record of owning technical relationships with large enterprise customers post-sale.
• Strong communicator across the full spectrum - platform engineers to C-suite.

Responsibilities

• Serving as the primary technical relationship for a portfolio of strategic enterprise accounts
• Leading end-to-end technical issue resolution, including hands-on troubleshooting and escalations with Engineering
• Guiding customers through AI and agentic use cases built on a cloud-native, service mesh-based stack
• Consulting on architectural best practices, performance tuning, and operational excellence
• Running tailored workshops and enablement sessions to build customer self-sufficiency
• Acting as the voice of the customer internally - feeding real production feedback into Product and Engineering

Skills

Customer-facing communication

Enterprise account management

Problem-solving

Post-sales experience

Tools

Kubernetes

Service mesh

API gateways

Troubleshooting

Job description

REALM is seeking a senior post-sales engineer to own a portfolio of strategic enterprise accounts at the intersection of cloud-native infrastructure and AI workloads.

You will drive end-to-end technical issue resolution, guide architectural best practices, and run enablement sessions to build customer self-sufficiency, while feeding real production feedback to Product and Engineering.