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Principal Forward Deploy Engineer Applied AI and Telecom Architecture

Posted 1 week ago by System Edge (USA) L.L.C.

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.
Rate:
Not specified
Location:
Remote
IR35 Status:
Outside
Remote Status:
Remote
Industry:
IT
Seniority Level:
Senior

Take-Home Pay

Not Available

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