Enterprise AI Solutions Architect — Production Infra & Orchestration

Socotra, Inc.; United States; Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Health insurance (family)

401(k) retirement plan

Flexible hybrid work schedule

Lunch and snacks

Office visit possibility to London/US/

Job summary

TrueFoundry is building an infrastructure layer for production AI systems. We are seeking a Solution Architect to own the technical arc of deals, drive architecture discussions, and deliver compelling POCs that demonstrate value in customers’ environments.

You will be the technical face to enterprise clients, shaping integrations, guardrails, and deployment patterns, while partnering with engineering and product to steer the roadmap toward reusable, scalable solutions.

Qualifications

• 3–7 years of backend software engineering experience in production systems.
• Strong in Python, Go, or TypeScript; comfortable with Kubernetes or major cloud platforms.

Responsibilities

• Own the technical arc of the deal: discovery, in-depth demo, architecture discussions and POC.
• Win the POC on technical merit; define success criteria and write integration glue and eval pipelines.
• Make architecture calls on production AI deployment; act as technical decision-maker for the customer.
• Be the technical face of TrueFoundry to enterprise customers and build trust to close deals.
• Capture field signals and feed roadmap with data-backed requests to product/engineering.

Skills

Backend engineering

Python/Go/TypeScript

Cloud platforms

AI/ML literacy

Architecture design

Leadership

Founding experience welcome

Tools

Kubernetes

AWS

Azure

GCP

Job description

TrueFoundry is building an infrastructure layer for production AI systems. We are seeking a Solution Architect to own the technical arc of deals, drive architecture discussions, and deliver compelling POCs that demonstrate value in customers’ environments.

You will be the technical face to enterprise clients, shaping integrations, guardrails, and deployment patterns, while partnering with engineering and product to steer the roadmap toward reusable, scalable solutions.