Lead AI Deployment Architect for Enterprise Solutions

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

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.