Translate customer use cases and solution designs into technical build plans and working prototypes.
Build integrations using Python, Node.js, TypeScript, REST APIs, webhooks, JSON, authentication, and enterprise platforms.
Configure and develop conversational AI and workflow experiences using Webex AI capabilities and Webex AI Agent Studio.
Connect AI experiences to Salesforce, ServiceNow, CRM platforms, contact-centre systems, knowledge sources, and enterprise APIs.
Develop use cases involving AI agents, voice experiences, retrieval-augmented generation, workflow automation, and real-time analytics where appropriate.
Create customer demonstrations, technical prototypes, pilots, and proof-of-concept solutions.
Map data flows, system dependencies, events, actions, error conditions, and human hand-offs.
Apply practical controls for security, privacy, access, observability, testing, and operational reliability.
Test integrations and AI experiences for accuracy, latency, resilience, usability, and appropriate escalation.
Instrument solutions so customer and internal teams can measure usage, quality, adoption, and business outcomes.
Troubleshoot integration, configuration, data, and AI behaviour issues with support from senior engineers and product teams.
Participate in customer discovery sessions, technical workshops, design reviews, and pilot readouts.
Work with AI Solution Consultants and FDEs to refine requirements and prepare solutions for production deployment.
Capture product gaps and implementation lessons with clear technical detail and customer impact.
Document reusable integrations, configuration patterns, use cases, demonstrations, and troubleshooting methods.
Contribute to internal enablement, solution libraries, reference architectures, and pre-built assets.