Solutions Engineer

Solutions Engineer (Pre-Sales)

We’re hiring a customer-facing Solutions Engineer to help prospective enterprise customers evaluate Agent Query and our expanding AI capabilities. You’ll partner with Sales to understand each customer’s technology environment, identify opportunities for AI and automation, and demonstrate how our products fit into their enterprise stack.

This is a mid-level, hands-on pre-sales role. You’ll guide technical evaluations, configure demonstrations and proofs of concept, and establish a clear path to deployment. Once the sale closes, you’ll transfer the technical context and agreed scope to Customer Success.

In this role, you will:

• Lead technical discovery.

  Explore the customer’s applications, databases, infrastructure, integrations, security requirements, and business workflows. Identify the use case, technical dependencies, and decision criteria.

• Develop the proposed solution.

  Map how our products would connect to customer systems, access approved data, and support business processes. Explain deployment options, requirements, and tradeoffs.

• Deliver tailored demonstrations.

  Translate customer needs into demonstrations that show relevant capabilities and business value.

• Build and manage proofs of concept.

  Configure AI capabilities, data connections, APIs, and automation workflows for focused evaluations with agreed scope, timelines, and success criteria.

• Demonstrate workflow automation.

  Show how AI can participate in workflows involving triggers, data inputs, application actions, human approvals, and exception handling.

• Drive technical confidence during the sale.

  Partner with account executives to qualify opportunities, answer technical questions, address objections, and support security and architecture discussions.

• Represent capabilities accurately.

  Clearly explain supported functionality, limitations, and dependencies. Engage Product and Engineering when an evaluation requires deeper expertise.

• Prepare the Customer Success handoff.

  Document the customer’s objectives, proposed architecture, configurations, evaluation results, deployment requirements, open issues, and commitments made during the sales process.

• Support product expansion.

  Learn new AI modalities and develop demonstrations and evaluation approaches as those capabilities become available.

You should bring:

• Approximately 3–5 years of relevant experience

  in solutions engineering, sales engineering, technical consulting, or a comparable customer-facing technical role.

• Experience conducting technical discovery and presenting to both business stakeholders and technical teams.

• A working understanding of enterprise technology stacks, including applications, databases, cloud infrastructure, APIs, and identity and access management.

• Hands-on experience configuring AI applications or agents and connecting them to data sources and business systems.

• Experience with workflow automation, orchestration tools, webhooks, approval steps, and troubleshooting integrations.

• Working proficiency with SQL and APIs, plus enough Python or JavaScript to build and troubleshoot demonstrations and prototypes.

• The ability to explain AI behavior, evaluate outputs, and communicate limitations clearly.

• Strong documentation and collaboration skills, including experience transferring customer requirements to implementation or Customer Success teams.

Experience with enterprise data platforms, retrieval and search, document processing, or multimodal AI applications is a plus.

Success means qualified opportunities reach clear technical decisions, proofs of concept demonstrate agreed business value, and Customer Success receives an accurate, actionable handoff.