Negotiable
Undetermined
Remote
Remote or Dallas, Texas
Summary: The Senior AI Engineer AI Lead will be responsible for the end-to-end delivery of the New Build agent system on Verizon's Vertex AI platform, overseeing implementation, production rollout, and hypercare. This role requires acting as the single technical owner for the New Build track, leading the development of a six-agent system and ensuring integration with existing architectures. The position demands extensive experience in software engineering and production-level AI systems. The role can be performed remotely or from Dallas, Texas.
Key Responsibilities:
- Lead build of the 6-agent system (Orchestrator, Site Design Supervisor, Atoll RF Design, Build Validation, FS Plot, RFDS)
- Port and harden existing POC/demo into production using Vertex AI
- Implement automated learning loop (auto-classify, validate, human review, writeback)
- Co-own MCP servers and shared architecture to avoid divergence between NB vs MODS
- Support multi-regional cutover, hypercare, and platform enhancements
- Participate in regional tuning and SME discussions
Key Skills:
- 7+ years of software engineering
- 3+ years in LLM/agent systems in production
- Hands-on with Vertex AI, Gemini, RAG, and embeddings
- Experience building production AI agents
- Strong MCP/tool-calling architecture experience
- Multi-agent orchestration and workflow management
- Strong Python engineering discipline with testing and CI/CD
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
implementation through production rollout and hypercare. Acts as the single technical owner for the NB track.
Key Responsibilities:
Lead build of the 6-agent system (Orchestrator, Site Design Supervisor, Atoll RF Design, Build Validation, FS Plot,
RFDS)
Port and harden existing POC/demo into production using Vertex AI
Implement automated learning loop (auto-classify, validate, human review, writeback)
Co-own MCP servers and shared architecture to avoid divergence between NB vs MODS
Support multi-regional cutover, hypercare, and platform enhancements
Participate in regional tuning and SME discussions
Must-Have Skills:
7+ years of software engineering
3+ years in LLM/agent systems in production
Hands-on with Vertex AI, Gemini, RAG, and embeddings
Experience building production AI agents
Strong MCP/tool-calling architecture experience
Multi-agent orchestration and workflow management
Strong Python engineering discipline with testing and CI/CD
Nice-to-Have Skills:
Integration with simulation/CLI-based systems
LLM evaluation and validator loops
Multi-region KB/RAG exposure
Telecom / RF domain familiarity