Senior Forward Deployed Engineer owning complex enterprise AI agent deployments for Fortune 500 customers. Architect systems, build integrations and tooling, mentor team, debug production issues in real-time voice environments, and drive product improvements from customer learnings. Requires 5+ years production software engineering, Python/cloud expertise, and hands-on LLM agent experience.
Salary not listed
On-site5+ YOESolutions Architecture
About the role
What You'll Do
Own the hardest deployments end-to-end: Architect agent systems for Fortune 500 environments, build enterprise integrations, and make the scope/speed/quality trade-off calls that ship production agents on aggressive timelines.
Be the technical anchor of your pod: Set the engineering bar through design and code reviews, mentor FDE I/II engineers, and serve as the escalation point for the hardest live issues — real-time voice latency, telephony edge cases, integration failures, agent quality regressions.
Build leverage, not just deployments: Create the eval harnesses, deployment tooling, debugging infrastructure, and reusable patterns that compound across every pod.
Drive the product feedback loop: Turn deployment learnings into prototypes and concrete asks, and work directly with core engineering to land platform improvements.
Face the customer as a technical peer: Run architecture discussions with customer engineering leaders and be the person they trust when production breaks.
Who You Are
Strong engineering foundation: 5+ years of production software engineering, ideally at companies known for high engineering bars. You've shipped and operated real systems at scale.
Deep on the stack: Expert in Python, APIs, cloud infrastructure, CI/CD. You debug distributed systems under pressure and learn new integration surfaces quickly.
AI-native: Hands-on with LLM agent systems — orchestration, tool calling, evals, context engineering — and the latency budgets real-time voice demands (or the chops to ramp fast).
Customer-tolerant: You can sit across from enterprise stakeholders, translate ambiguity into a plan, and stay calm when production is on fire in front of them.
High agency: You find the highest-leverage problem and go, with limited or no guidance.
Nice to Have
Prior forward deployed / solutions engineering at an AI or enterprise software company
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