Forward Deployed AI Engineer
US$4,500 – US$5,000 / mth base salary
Posted 2 Oct 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
- Employment
- Remote
- Contract
- Contract
| Base salary | US$4,500 – US$5,000 / mth |
|---|
This role is open to candidates based in LATAM, Africa, and Eastern Europe. Please note that as this role supports U.S.-based clients, candidates must be available to work during U.S. business hours aligned with the client’s time zone.
Our client operates a large verified healthcare professional community spanning approximately 150 countries and provides real-time research and data products for pharmaceutical, biotech, and medical device clients.
Role Overview
The Forward Deployed AI Engineer, Delivery and Operations will embed directly with Delivery and Operations teams to redesign the survey lifecycle around AI agents, from translating client requirements into completed surveys to fielding surveys to the appropriate healthcare professionals and engaging external vendors when additional responses are required.
This is a hands-on engineering role responsible for understanding existing workflows and then designing, building, testing, deploying, and improving agent-first solutions alongside Delivery, Operations, and Engineering.
Location
Fully Remote | 9:00 AM - 5:00 PM EST | LATAM
Key Responsibilities
Workflow Discovery & Agent-First Design
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Embed with Delivery and Operations to map the survey lifecycle from end to end, including tools, handoffs, exceptions, approvals, and bottlenecks.
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Establish measurable baselines for existing workflows before implementing automation.
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Redesign workflows around AI agents rather than adding AI to existing processes.
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Identify and prioritize additional AI opportunities across Delivery.
AI Agent & Workflow Development
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Design and build AI-powered workflows using document extraction, structured outputs, workflow routing, and agentic task execution.
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Develop integrations through APIs, webhooks, and automation tools.
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Build evaluations and monitoring for AI-powered workflows and non-deterministic systems.
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Design production workflows with human-in-the-loop controls, including approval checkpoints, review queues, guardrails, audit trails, and exception handling.
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Document systems, workflow logic, prompts, and operating procedures.
Vendor Engagement Automation
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Build an AI agent that identifies when external vendor support is required based on internal feasibility or response volume.