Production AI Solutions Architect

Socotra, Inc.; Northern (KY); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health insurance

401(k) retirement plan

Hybrid work (2 days in office)

Lunch and snacks

Work from another TrueFoundry office

Job summary

TrueFoundry is seeking a Solution Architect to own the technical arc of deals, lead architecture discussions with customer engineers, and drive POCs from discovery to close.

You will define success criteria, write integration glue, and steer the evaluation in their environment, delivering measurable value with a bias for action.

Join a Series A startup building AI infrastructure, with enterprise customers and impact across product and engineering teams.

Qualifications

• 3–7 years of backend software engineering with production systems you shipped and owned.
• Strong in Python, Go or TypeScript; comfortable with Kubernetes or major cloud.
• Experience with LLMs, agents, evals, or ML pipelines in production; modern stack familiarity a plus.
• Ability to lead architecture discussions with customer engineers and own the work.
• Founding engineers/CTOs welcome; infra, MLOps or developer-tools background valued.

Responsibilities

• Own the technical arc of the deal: discovery, in-depth demo, architecture discussion, and POC through close.
• Win the POC on technical merit; define success criteria and write integration glue and eval pipelines.
• Make architecture calls on production AI deployments; be the technical decision-maker in the room.
• Be the technical face of TrueFoundry to enterprise customers and earn credibility.
• Gather field signals to shape product and roadmap with data-driven asks.

Skills

Backend Eng

Python/Go/TS

Kubernetes

AI/ML literacy

Architectural leadership

Tools

LangChain

vLLM

SGLang

Job description

TrueFoundry is seeking a Solution Architect to own the technical arc of deals, lead architecture discussions with customer engineers, and drive POCs from discovery to close.

You will define success criteria, write integration glue, and steer the evaluation in their environment, delivering measurable value with a bias for action.

Join a Series A startup building AI infrastructure, with enterprise customers and impact across product and engineering teams.