Agentic AI Engineer
Backend Developer
Marketing
Agentic Ai
Ai Agent
Ai Agent Platform
Ai Security
API
APIs
Application Support
Artificial Intelligence
Artificial Intelligence Engineer
Async Microservices
Business Systems
Cloud
Cloud Native
Cloud Platforms
CRM
Crm Analytics
Crm Integration
Data Analysis
Data Engineer
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Science
ETL
Generative AI
Google Cloud
Google Cloud Platform
Informatica
Integration
Llm Orchestration
Machine Learning
Marketing Technology
Programming
Programming Language
Programming Languages
Rag Systems
Relationship Management
REST APIs
Salesforce
Salesforce Crm
Software
Software Development
Vertex Ai
Job Description
Verizon is hiring an Agentic AI Engineer to design and deliver autonomous, multi-agent workflows that go beyond static text generation.
Responsibilities
- Design stateful, multi-step agentic workflows using reasoning frameworks such as ReAct, Plan-and-Solve, and Reflection
- Build dependable execution layers that connect LLMs to enterprise systems via REST APIs, database connectors, and standards including Model Context Protocol (MCP)
- Create short-term and long-term memory approaches, including state persistency, context window optimization, and hybrid RAG retrieval layers
- Set up offline evaluation sets (“golden sets”) and real-time observability pipelines to reduce hallucinations, infinite loops, and unwanted drift (includes LLM-as-a-judge, trace analysis, latency monitoring, and cost monitoring)
- Containerize and deploy multi-agent microservices using scalable async patterns, distributed queues, and fallback mechanisms
Requirements
- Bachelor’s degree or 4+ years of work experience
- 4+ years of relevant experience required, demonstrated through work and/or military experience, or specialized training
- Experience building Multi-Agent Systems with complex delegation models, including human-in-the-loop escalation paths
- Hands-on experience developing enterprise-grade agentic workflows, multi-agent topologies, and task orchestration pipelines using platforms such as LangGraph, Google ADK / CES, Sierra, Decagon, or similar
- Experience with Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), and generative AI guardrails
Technologies
- ReAct; Plan-and-Solve; Reflection
- Model Context Protocol (MCP)
- LLM-as-a-judge
- LangGraph
- Google ADK / CES; Sierra; Decagon
- Large Language Models (LLMs); prompt engineering; retrieval-augmented generation (RAG)
- Containerize; REST APIs; database connectors; distributed queues
- Vertex AI Search; Enterprise Search
- Salesforce; Genesys
- Python; Java; NodeJS
- REST/SOAP APIs; pub/sub messaging; webhook integrations
- Google AI; telephony adapters
Location and Work Model
- Irving, TX (hybrid)
- Defined work location includes working from home and a minimum of three days per week in the office, set by your manager
Scheduled Weekly Hours
- 40 hours
Compensation and Incentives
- Salary varies by location and confirmed job-related skills and experience
- Incentive based position with potential to earn more
- Annual salary range for the listed location(s) on this requisition (full-time): $101,000.00 - $194,000.00
Benefits
- Medical, dental, vision
- Short and long term disability
- Basic life insurance; Supplemental life insurance; AD&D insurance
- Identity theft protection
- Pet insurance
- Group home & auto insurance
- Matched 401(k) savings plan
- Up to 8 company paid holidays per year
- Up to 6 personal days per year
- Paid parental leave; Adoption assistance
- Tuition assistance
- Premium pay such as overtime, shift differential, holiday pay, allowances (depending on the role)
Education
- Bachelor’s degree
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