AI Jobs

This role leads customer-facing implementation of AI virtual agents and CX automation workflows. The work spans discovery, agent configuration, guardrails, validation, integrations, launch, and post-launch optimization.

This role deploys AI agents that solve contact-center and customer conversation problems. It combines customer-facing technical work, real-world agent implementation, and production deployment for enterprise workflows.

This role works on AI-native vertical SaaS for construction logistics. It is relevant for builders who can deploy practical AI systems into customer operations and translate workflow needs into productized solutions.

This role implements, customizes, and optimizes AI phone-agent solutions for enterprise customers. It combines technical implementation, customer requirements translation, deployment, adoption, and measurable impact delivery.

This role designs tailored solutions for strategic customers using ElevenLabs voice and agent technology. It involves technical architecture, integrations, product features, and end-to-end ownership of high-impact customer challenges.

This role owns deployment, configuration, and ongoing management of AI data agents for enterprise customers. The work includes context ingestion, data pipeline integration, operational workflows, and agent orchestration tuning.

This role owns the lifecycle of AI products with banking clients, from deployment through production optimization and expansion. It translates regulated customer requirements into integrations between Titan's AI platform and bank systems.

This role leads customer deployments for Archie, an AI engineer for physical product domains. It connects AI reasoning capabilities with customer data, tools, design processes, and production implementation needs.

This role leads software integration and deployment for NODA's autonomous orchestration platform. The work focuses on adapters, interfaces, integrations, deployment tooling, and customer-facing implementation in constrained operational environments.

This role sits between customer discovery, project management, and deep technical execution for an AI-powered infrastructure inspection platform. It helps customers deploy, integrate, and operationalize AI workflows in existing systems.