Job responsibilities
- Serve as the principal architect and lead developer for complex Conversational AI, voice and customer-experience applications, moving pilots into production-grade agentic and multi-agent workflows.
- Own end-to-end reference and solution architecture across Google Conversational Agents, Gemini-powered CX, Customer Engagement Suite, Contact Center AI, Agent Assist, CX Agent Studio, SCRAPI and customer CCaaS platforms.
- Design the connective tissue between AI agents and telecom environments, including BSS and OSS, CRM, customer identity and authentication, billing, order management, provisioning, network/service assurance, knowledge platforms and legacy APIs.
- Define architecture decisions and non-functional requirements covering availability, scale, latency, security, privacy, observability, disaster recovery, cost and operational support.
- Architect voice, messaging and digital-channel journeys, including IVR modernization, routing, escalation, human handoff, conversation/session continuity and contact-center integrations.
- Build evaluation and observability pipelines for reasoning loops, tool selection, containment, transfer accuracy, latency, safety and business outcomes.
- Deploy secure cloud and network infrastructure with Terraform or comparable infrastructure-as-code tooling, including IAM, secrets, private networking, API gateways and service controls.
- Lead technical discovery and architecture workshops with customer, telecom, security and operations stakeholders; document current state, target state, transition architecture and implementation roadmaps.
- Convert repeatable field patterns and platform friction into reusable modules, architecture standards and product feature requests.
- Act as an autonomous technical leader and multiplier by reviewing designs, resolving critical production issues and upskilling customer and partner engineering teams.
Minimum qualifications
- Bachelor's degree in Engineering, Computer Science or a related field, or equivalent practical experience.
- At least 8 years of software engineering experience, including 5 years using Python or a comparable language and 3 years owning staff, principal or lead architecture responsibilities.
- Production experience architecting and launching AI systems on Google Cloud Platform, including hands-on implementation and debugging.
- Hands-on implementation of Dialogflow CX or Conversational Agents, CES, CCAI or Agent Assist in an enterprise environment.
- Demonstrated telecom-domain architecture experience involving at least two of the following: BSS/OSS, billing, order management, provisioning, network/service APIs, subscriber identity/authentication, telecom CRM, CCaaS/IVR or messaging.
- Experience integrating full-stack applications, APIs and AI agents with enterprise infrastructure, legacy systems and security perimeters.
- Experience using Terraform or similar tools to provision agents, compute, networking, IAM and supporting services.
- Experience leading architecture and technical discovery sessions directly with customers and taking solutions from proof of concept to production.
Preferred qualifications
- Master s or PhD in AI, Computer Science, Telecommunications or a related field.
- Experience with TM Forum Open APIs, eTOM or SID, carrier-grade integration patterns, 5G/service orchestration or network assurance.
- Experience with SIP, RTP, PSTN, IVR, CPaaS/CCaaS, Genesys, Twilio or comparable voice and contact-center platforms.
- Experience building multi-agent systems using ADK, LangGraph, CrewAI, ReAct, self-reflection or hierarchical delegation.
- Experience tracing conversation and transaction identifiers across microservices and telecom systems during live incidents.
- Experience connecting agents to enterprise knowledge bases and optimizing RAG chunking, retrieval and grounding.
- Understanding of telecom security and privacy obligations, including customer proprietary data, PCI/PII controls and zero-trust service access.
- Ability to travel up to 50 percent.