Solution Architect, Agentic AI

Aquant is the Agentic AI platform purpose-built for service organizations that maintain complex equipment. Unlike generic AI tools, Aquant combines domain expertise with intelligent agents that capture and apply institutional knowledge across service teams. By analyzing service data, from manuals to technician notes, Aquant improves troubleshooting, accelerates training, reduces costs, and transforms service into a revenue driver. Learn more at www.aquant.ai

We are looking for a customer-facing Solution Architect to partner with clients in understanding business challenges and designing AI-powered solutions that drive measurable outcomes. In this role, you will lead discovery, shape solution architecture, guide proofs of concept, and support successful implementation in close collaboration with cross-functional teams. The ideal candidate combines strong consultative skills, technical depth, and the ability to communicate effectively with both technical and non-technical stakeholders. This is not a hands-on coding role, but requires strong technical understanding

What you’ll do

• Partner with customers to understand business challenges and design AI-powered solutions, workflows, and decision-support experiences that solve real business problems. - Design end-to-end solution architectures aligned to customer goals, covering data sources, integrations, APIs, orchestration, retrieval, guardrails, human-in-the-loop workflows, and deployment approach. - Guide and shape proofs of concept in partnership with Product and Engineering, and pilot solutions that validate business value quickly. - Act as the primary technical advisor to customers, leading discovery workshops, aligning stakeholders, and guiding decision-making by clearly communicating technical tradeoffs to both technical and non-technical audiences. - Partner with Product, Engineering, Customer Success, and Delivery teams to move solutions from discovery to implementation and adoption. - Own solution scoping and planning in collaboration with customers and internal teams, including requirements, risks, timelines, and alignment. - Drive measurable business outcomes such as faster time to resolution, improved first-time fix, increased remote resolution, stronger adoption, and better customer experience. - Create reusable implementation assets, reference architectures, playbooks, and industry-specific patterns that improve repeatability and speed. - Ensure solutions are scalable, secure, explainable, and aligned with customer governance and compliance requirements. ##