Technical AI Solutions Architect

Location: San Diego

Department: Engineering

Location Type: HYBRID

Employment Type: FULL_TIME

About Cadre AI

The Role

What You'll Do

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.
• Flag hidden technical complexity, data dependencies, and integration risks before they harden into commitments.
• Partner with sales early so the solutions that advance are ones engineering can stand behind.

Solution Shaping and Discovery

• Join client discovery conversations once opportunities have been narrowed to the key solutions worth buying, quickly going deep on requirements, context, and constraints.
• Translate complex client needs into clear, specific solution definitions that the client and our delivery teams understand the same way.
• 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.
• Confirm all technical assumptions and estimates with engineering leadership before anything is committed to the client.
• 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.

What You Need to Succeed

• 4-7 years in a client-facing technical role such as technical program management, solutions architecture, or forward-deployed engineering, with direct exposure to scoping or shaping work that other people then built.
• 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.
• Comfort in assessing the market for solutions when a client pain point is surfaced vs. defaulting to an internal build
• A proven ability to write precise scope documents, statements of work, or schedules that define deliverables, assumptions, and exclusions clearly.
• Experience producing internal high-level technical documentation that another team can begin to execute from.
• Strong requirements-gathering and discovery skills, with a track record of turning ambiguous client conversations into specific, agreed definitions of what will be delivered.
• Ability to design AI solutions with a bias for reusing core architectural components vs. creating truly bespoke solutions
• The judgment and ability to hold the line between commercial ambition and delivery reality, including comfort in telling a motivated sales team when something cannot be scoped as proposed.
• The credibility to earn and keep the trust of engineering leaders, so your assumptions are believed rather than re-litigated.
• Exceptional organization and the ability to run roughly five to ten engagements in parallel on tight 30 to 45 day cycles without letting details slip, including proficiency with ClickUp or similar tools for structured workflows and documentation.
• Comfort operating at the seam between sales, clients, and engineering, serving each without being captured by any one of them.
• Clear, direct written communication, as the documents you produce are the primary product of your work.
• A temperament that finds satisfaction in a clean scope and a flawless handoff rather than in being the hero in the client room.

Why Cadre AI

• Real ownership. The schedules and handovers you write define every engagement we deliver. This is a hinge the whole business turns on, and it is yours.
• AI-native culture. We do not just build AI for clients, we use it to run our own operations. You will work with people who are as obsessed with the tools as you are.
• Access to the frontier. Through partnerships with Anthropic and OpenAI, you will be among the first to experiment with new models and capabilities.
• No bureaucracy. Small pods. Clear accountability. The best idea wins, regardless of who says it.