AI Deployment Lead at Ubiquity Global Services, Inc. | Torre
AI Deployment Lead
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AI Deployment Lead

Ubiquity Global Services, Inc.
Emma
Emma
You'll transform AI pilots into operational reality, enhancing efficiency and agent experience in high-volume environments.
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Full-time

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Emma of Torre.ai
 about 2 months ago

Requirements and responsibilities

We are seeking an AI Deployment Lead to bridge the gap between AI potential and operational reality. We need an operations-first leader who knows how to scale technology within a high-volume BPO or contact center environment. You will be responsible for taking AI pilots and turning them into stable, production-ready workflows that improve efficiency and agent experience.What You'll DoOperational Scaling & StrategyFrom Pilot to Production: Lead the rollout of AI initiatives across customer service and back-office teams, ensuring they meet strict BPO performance and quality standards.Process Re-engineering: Audit and redesign existing workflows to optimize the collaboration between AI systems and human operators.KPI Ownership: Establish and monitor performance metrics to track the real-world ROI of AI deployments.Implementation & Change ManagementFeedback Loops: Create direct communication channels between frontline teams and technical partners to ensure AI tools solve actual user friction.Operational QA: Build testing frameworks that evaluate AI performance based on business logic and customer outcomes, not just technical uptime.Stakeholder Alignment: Manage expectations and drive adoption across operations leadership, clients, and frontline staff.What We’re Looking ForRequired ExperienceBPO/Contact Center Operations: 5+ years of experience in a high-volume operations environment.Implementation Track Record: Proven experience leading the deployment of technology (AI, RPA, or specialized CRM tools) that impacted a headcount of 100+.Workflow Logic: Strong background in process mapping and business process improvement (BPI).Technical SkillsExperience with workflow design tools and process mappingAI/ML Literacy: A practical understanding of LLM capabilities and limitations. You don't need to code them, but you must know how to direct them (Prompt Engineering) and audit their outputs.CRM & Tooling: Experience with enterprise service platforms (Zendesk, Salesforce, Genesys, etc.).Soft SkillsPractical Problem-Solver: You prioritize operational stability and "what works" over technical novelty.Clear Communicator: Ability to translate technical capabilities into clear instructions for non-technical operations teams.
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