AI Solutions Architect focused on designing and implementing AI solutions addressing client needs. Leading complex projects and mentoring team members while ensuring ethical compliance.
About the role
- Solutions Engineer facilitating technical discovery and integration planning for customer engagement. Driving technical sales velocity and collaborating on customer needs with Method's API solutions.
Responsibilities
- Join high-priority deals early (often call 1–2) as the technical partner to the AE; lead technical discovery and solutioning.
- Translate customer architecture, constraints, and goals into a clear proposed approach (integration plan, sequencing, risks, and tradeoffs).
- Improve technical sales velocity by tightening the cycle from discovery → solutioning → terms with crisp technical alignment and next steps.
- Occasionally support post-sale solutioning and expansion: participate in customer roadmap conversations, propose new use cases, and accelerate adoption.
- Build solutions playbooks for Discovery and reference architecture to embed a repeatable solutions motion across pre and post sales:
- Create and maintain a lightweight knowledge base / product catalog
- Partner closely with AEs, CS, TIEs, and Product to surface recurring issues, improve enablement, and feed product learnings back into roadmap decisions.
Requirements
- 5+ years experience in technical Solutioning in a pre-sales environment
- Strong technical foundation (CS preferred; STEM/engineering/math/physics acceptable with clear technical depth)
- Prior experience working with APIs (selling, implementing, supporting, or solutioning).
- Demonstrated critical thinking: you consistently get behind the question and give answers that match the underlying need.
- Comfortable operating in both pre-sales and post-sales contexts; you can shift between solution design and customer enablement.
- High ownership and speed: you ramp quickly, contribute actively on calls, and produce durable assets (playbooks, guides, demos) that reduce future load.
- Comfortable in a startup environment with ambiguous processes and evolving org structure.
Benefits
- No specific benefits mentioned
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