Go Cadre
Technical AI Solutions Architect
San Diego, USA · Full-time
Sponsorship not specified$40k-$50kDetected 19 days ago
Machine LearningLLMsSalesLeadershipCommunicationPlain Language
About the role
- You sit at the center of every deal we close, turning a promising sales conversation into a precise, deliverable commitment.
- Some solutions will be similar to items that Cadre has deployed previously and some will be completely new.
- You should be comfortable solutioning in ambiguity to define what the solution looks like and be able to dictate how it should be built to produce a modular or configurable output that can be used down the road for another client.
Responsibilities
- Early Feasibility and Opportunity Triage Pressure test opportunities at the top of the funnel, giving the sales team a fast, high level read on which solutions we can realistically deliver and which to steer away from.
- Partner with sales early so the solutions that advance are ones engineering can stand behind.
- Serve as the technical voice in the room, reinforcing the sales narrative while keeping every commitment grounded in what we can actually build.
- Scoping and the Client Schedule Own the external schedule (SOW) that defines deliverables, assumptions, exclusions, client dependencies, and a precise definition of done that holds up after signature.
- Identify which technical components can be reused and which need to be developed for the engagement, with a strong emphasis on reuse / adaptation to drive efficiency Write scopes that protect the company commercially and that delivery can execute without renegotiation.
- Engineering and Delivery Handoff Refine the internal handover document that carries intent, client priorities, technical approach, and known risks across the signature line.
- Lead the handover conversation that transitions each signed engagement to the delivery and engineering teams post-signature.
- Document handovers in a complete fashion to empower the delivery team to run with them without needing you in the room.
Requirements
- when they can execute exactly what you scoped, you have done the job well.
Compensation
- $40k-$50k
Benefits
- A working understanding of AI, machine learning, LLMs, and automation deep enough to judge feasibility and translate complex concepts into plain language, without needing to be the person who writes the code.
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This listing is sourced directly from Go Cadre's careers page and normalized into a canonical job model.