Forward Deployed AI Engineer

talkdesk2; United States; Remote; USD 180,000 - 225,000; Full time

Benefits offered by this job

Equity and bonus plan

Medical, dental, vision insurance

401(k) plan

Paid holidays and time off

Uncapped PTO for exempt employees

Job summary

talkdesk2 is seeking a Lead role to drive technical delivery of AI agent solutions for large enterprise customers, from architecture through production deployment. The role combines hands-on software engineering, implementation leadership, and customer consultation.

You will architect complex AI deployments, build and deploy agents, lead discussions with executives, mitigate risks, and mentor junior engineers in AI delivery and production quality.

Qualifications

• 5–7+ years in software or solution engineering with AI deployment experience.
• Consulting or project leadership in large-scale IT integration or AI projects.
• Experience designing multi-agent systems with planning and memory.

Responsibilities

• Architect complex AI deployments, managing cross-system dependencies and meeting enterprise security and scalability needs.
• Build, test, and deploy AI agents using platform capabilities and third-party APIs or SDKs; take solutions from prototype to production.
• Lead technical discussions with customer engineering leaders and architects, address detailed questions, and build alignment across teams.
• Identify and mitigate implementation risks across customer environments.
• Turn lessons from deployments into reusable solution patterns and tooling, and share actionable feedback with product and engineering teams.
• Mentor junior engineers and specialists in AI architecture, production quality, and customer-facing delivery.

Skills

JavaScript

TypeScript

Python

APIs & webhooks

Message queues

Production code

Tools

Vector databases

Job description

Role overview

Lead technical delivery of AI agent solutions for large enterprise customers, from architecture and prototypes through production deployment. The role combines hands‑on software engineering, implementation leadership, and customer consultation, with responsibility for managing technical risks and translating deployment experience into product improvements.

Responsibilities

• Architect complex AI deployments, managing cross-system dependencies and meeting enterprise security and scalability needs.
• Build, test, and deploy AI agents using platform capabilities and third-party APIs or SDKs; take solutions from prototype to production.
• Lead technical discussions with customer engineering leaders and architects, address detailed questions, and build alignment across teams.
• Identify and mitigate implementation risks across customer environments.
• Turn lessons from deployments into reusable solution patterns and tooling, and share actionable feedback with product and engineering teams.
• Mentor junior engineers and specialists in AI architecture, production quality, and customer‑facing delivery.

Requirements

• Five to seven or more years of software or solution engineering experience, including at least one year architecting and deploying AI, machine learning, or agentic solutions.
• Consulting or project implementation experience with large‑scale IT integration, ERP, or AI projects, including customer‑side project leadership.
• Demonstrated experience designing and delivering multi‑agent systems with planning, memory, and tool‑use capabilities.
• Proficiency in JavaScript, TypeScript, Python, or comparable languages, and experience writing secure, scalable, tested production code.
• Deep knowledge of APIs, webhooks, message queues, and data architecture for secure and reliable integrations.
• Strong prompt engineering and model optimization skills, plus the ability to build credibility with executives and align technical stakeholders.

Nice to have

• Hands‑on experience with retrieval‑augmented generation and vector databases.
• Familiarity with healthcare, retail, contact center, unified communications, or customer experience systems.

Benefits and work setup

• Base pay range of $180,000–$225,000, with possible equity and short‑term bonus or commission depending on level and role.
• Medical, dental, vision, life, and disability insurance; an employee assistance program; and a 401(k) plan.
• Paid holidays and paid time off. Exempt employees have an uncapped PTO program; non‑exempt employees accrue PTO. Programs are subject to approval and business needs.
• Work is primarily office‑based and computer‑focused.