Solutions Engineer (Chicago)

Job summary

Responsibilities

You will work on some of the hardest problems in applied AI, in front of customers, on a clock. Not demos, not research: systems real teams depend on in production. The feedback loop is fast, the impact is measurable in closed deals and live deployments, and the work directly shapes how AI agents…

• Own the technical win. Partner with AEs to scope evaluations, run technical discovery, and design POCs that map to the customer's real use case rather than a canned demo
• Be the technical authority in the room during architecture reviews, security and infrastructure questions, and head-to-head evaluations
• Co-architect and co-build production AI agents with customer engineering teams, from prototype through rollout
• Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
• Run demos, trainings, and workshops for developer audiences, from single-team sessions to larger technical enablement

What they're looking for

• 6+ years in a relevant technical role such as solutions engineering, sales engineering, customer engineering, software engineering, or founding and product engineering, ideally…
• Comfort owning the technical thread in a sales cycle: discovery, POCs, architecture reviews, and competitive evaluations
• Ability to explain technical tradeoffs clearly and build trust with developer audiences, then translate that into a decision the customer is ready to make
• A track record of taking responsibility for outcomes, not just recommendations
• A bias toward action and a willingness to figure things out as you go

Tech stack

• LangGraph
• AWS
• GCP
• Azure
• Kubernetes