Forward Deployed AI Engineer

Overview

Lead the technical execution of complex, production-grade AI agent deployments for strategic enterprise customers on Talkdesk's Agentic AI platform, acting as a hands-on builder, technical project lead and trusted technical expert.

What you'll do

• Act as the technical lead for complex deployments.
• Design and implement the architectural blueprint for AI agent solutions, manage cross-system dependencies, and ensure designs meet stringent enterprise standards for security and scale.
• Write production-grade code and leverage Talkdesk and 3rd-party APIs/SDKs to design, build, test, and deploy AI agents.
• Drive the execution from prototype through to production deployment, ensuring technical quality.
• Serve as a trusted technical expert for AI solutions, confidently address deep technical inquiries, mitigate technical risk, and build trust with customer Engineering Directors and technical architects.
• Synthesize and codify deployment learnings into reusable solution patterns and tooling.
• Provide actionable feedback to core Product and Engineering teams to help inform future product direction.
• Mentor junior FDEs and technical specialists on best practices for complex AI architecture, production quality, and client-facing technical delivery.

What you'll need

• Minimum of 5-7 years of progressive experience in software or solution engineering.
• At least 1+ years focused on architecting and deploying AI/ML/Agentic solutions.
• Project implementation consulting experience in large scale IT integration projects, ERP projects or AI implementations, including client-side project lead experience.
• Proven experience in the design and end-to-end implementation of complex multi-agent systems, encompassing sophisticated planning, memory, and tool-use frameworks.
• Proficiency in Javascript, Python, Typescript and other relevant languages, with a focus on writing secure, scalable, and tested production code.
• Deep expertise in systems integration (APIs, webhooks, message queues) and data architecture to ensure secure, compliant, and performant data flow for the agent across complex customer environments.
• Strong proficiency in prompt engineering, model optimization, and designing systems where agents collaborate to achieve complex outcomes.
• Proven ability to build credibility and consensus with customer executives, lead technical discussions, and drive alignment across internal and external teams.

Nice to have

• Experience with Retrieval-Augmented Generation (RAG) systems, including hands-on experience with vector databases.
• Experience with health care systems such as Epic or Aetna, or retail services systems.
• Prior experience in the Contact Center (CCaaS), Unified Communications (UCaaS), or Customer Experience (CX) industry.

Details

• Location: United States, remote.
• Base pay range: $180k - $225k, plus eligibility for long-term incentives (equity) and short-term incentives (bonus or commission) based on level and role.
• Work environment: primarily office-environment work, extended periods of sitting or standing, computer-based work, limited lifting.