Forward Deployed Engineer
About The Position
A forward deployed engineer takes a signed contract and turns it into a live AI agent making real calls and texts, then improves it until it achieves the client's goals. You sit between the client and the platform. When the platform doesn't do something a client needs yet, you don't wait on a ticket. You build the fix yourself, scoped tightly to that client. When the ask is bigger than one client, you scope the problem precisely and hand it to engineering instead of hacking around it. This is a technical role that also manages the relationships, aligns the stakeholders, and earns the trust that makes the work possible.
Requirements
- High-Agency Mindset: Takes initiative without waiting for direction. You proactively identify key outcomes, make a plan, and follow through to ensure measurable results.
- Technically Fluent: Comfortable shipping small scripts or automations against real production data. Experience with prompting and evaluating AI outputs. And a functional understanding of data flows and how systems integrate.
- Strong Communicator: Communicates effectively to both technical teams and executives by simplifying complexity without losing nuance.
- Client Advocacy: Able to quickly build trust and navigate competing priorities. Proven ability to develop long-term relationships.
- Adaptable Under Pressure: Skilled in resolving complex issues in dynamic, high-stakes environments.
- Fast Learner: Quickly grasps new concepts, tools, and domains, accelerating the path to impact and staying ahead in evolving technical and business contexts.
- Thrives in Fast-Paced Environments: You are energized by environments where priorities shift quickly, stakes are high, and your work makes a visible impact.
- Judgment about how a real person reacts when things don't go as scripted.
Nice To Haves
- 1 - 3 years of experience in implementation, client success, operations, QA, or support.
- Experience in fintech, insurance, or financial services
- Experience in conversational AI, voice workflows, or contact center technology.
Responsibilities
- Own deployment outcomes. Configure the agent: prompts, call flow, transfers, guardrails, SMS fallback — launch it, and optimize until it hits target and holds.
- Build what's missing. When a client's problem needs more than config, write and ship the script or small automation that closes the gap. Know the difference between a fix that's yours to build and a problem that needs to go to engineering.
- Create Repeatable Deployment Systems: Improve onboarding frameworks, document best practices, and refine internal processes so implementations become faster, more predictable, and easier to scale.
- Cross-Functional Problem Solving: Collaborate with Engineering to resolve technical issues and maintain production performance, translating system behavior into clear business implications and next steps.
- Strengthen and Expand Client Partnerships: Identify opportunities for improvement and expanded use cases based on performance data and evolving needs.
- Inform Product Through Real-World Insights: Surface structured feedback from production environments to engineering and product teams to improve reliability, usability, and overall impact.
- Feed the product. You're closer to production than anyone building the platform. What you bring back changes what gets built.
Benefits
- You get to shape AI systems that are helping millions of people navigate their financial lives.
- You’ll be a part of a small, elite team where your contributions have a measurable impact on AviaryAI’s growth trajectory and direction.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
