Forward Deployed Engineer
Chicago, IL$80k - $120kFull-timePosted 1mo ago
About the role
A forward deployed engineer translates signed client contracts into live AI agents, builders and integrations, working closely with credit unions to deploy and optimize AI-powered outreach while ensuring alignment between client needs and platform capabilities.
Responsibilities
- Build and launch agents. Configure the agent for each client's use case: the prompt, the call flow, the transfer and escalation logic, the guardrails, the SMS fallback. Test it against real scenarios before a single member hears it.
- Own the integration surface. Work with the client's technical team to define the data spec, map fields from their core banking system, set up file delivery, and confirm that what comes back to them is what they need.
- Read the logs and fix what you find. When an agent goes silent, interrupts a member, or takes too long to answer, you diagnose it from the call logs and the data. You will run SQL against call health, isolate the failure, and either fix it or hand engineering a precise repro.
- Own the outcome after launch. Launch is the midpoint, not the finish line. You align on success criteria before kickoff, then run optimization cycles on prompts, timing, and flow until the client's targets are met and hold.
- Run the client relationship at the operator level. Weekly calls with the people who own the contact center and the outcomes. You explain what the agent did and why, in language that makes sense to someone who does not think about LLMs.
- Make the next deployment faster. Turn what you learn into templates, checklists, and documentation. The goal is that deployment twenty takes a fraction of the effort deployment one did.
- Feed the product. You are closer to production than anyone building the platform. What you bring back changes what gets built.
Qualifications
- You are comfortable in the tools. JSON configs, SQL, reading application logs, understanding how data moves between systems through APIs and flat files. You do not have to be a software engineer. You do have to be the kind of person who opens the log file instead of filing a ticket.
- You have shipped something real people used, and you owned what happened after. A deployment, an integration, an internal tool, a data pipeline.
- You can sit across from a credit union executive and hold the room. Explaining why the agent did what it did, what you are changing, and when they will see the difference. Clear and specific, without hiding behind jargon.
- You write clearly. Specs, runbooks, client updates, bug reports for engineering. Half this job is making complexity legible to someone else.
Skills
Required:JSON configurationsSQLAPI and data integrationClient communication
Last updated Sep 16, 2026. Interested? Apply on the company site.
About AviaryAI
Outbound AI voice agents for the financial services industry
AviaryAI is the industry's first outbound AI service team for banks, credit unions, and insurance companies. In a landscape where only 18% of financial service providers make proactive outbound calls and rely heavily on emails, AviaryAI offers a groundbreaking solution. Powered by a private LLM, our suite of products helps institutions leverage Generative AI while adhering to stringent regulatory and compliance standards.
artificial-intelligencefintechb2bai-assistant
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