Hybrid AI Workflow Engineer — Autonomous Agents & RAG

Verizon; Irving (TX); Hybrid; USD 81,000 - 155,000; Full time

Job summary

Verizon seeks a seasoned AI/ML engineer to design and deploy autonomous AI agentic workflows for complex financial planning. You will integrate LLMs into data pipelines and build forecasting models to support strategic decisions.

In this hybrid role, you’ll work with LangChain, LlamaIndex, and Crew AI, ensuring governance, explainability, and auditable architectures while collaborating with cross-functional teams.

Qualifications

• Bachelor's degree or four or more years of work experience.
• Four or more years of AI/ML application development experience.
• Strong experience in building autonomous AI agentic workflows and RAG pipelines.
• Proficiency in Python-based AI development with LLM orchestration frameworks and vector databases.
• Ability to translate complex financial business logic into scalable, auditable AI architectures.

Responsibilities

• Developing and deploying autonomous AI agentic workflows to streamline complex financial planning and analytical processes.
• Implementing and optimizing Retrieval-Augmented Generation (RAG) systems to provide context-aware insights.
• Integrating Large Language Models (LLMs) into financial data pipelines to enhance forecasting accuracy and reduce manual processing time.
• Ensuring all AI-driven financial workflows are auditable, explainable, and meet strict financial data governance and compliance standards.
• Designing and building autonomous agents using LLMs and applying advanced prompt engineering techniques to solve complex financial problems.
• Build machine learning models for forecasting key financial metrics such as revenue, EBITDA, and other financial indicators.

Skills

Python

LangChain

LlamaIndex

Crew AI

RAG pipelines

LLM orchestration

Vector databases

Education

Bachelor's degree

Tools

SQL

Spark

Splunk

Job description

Verizon seeks a seasoned AI/ML engineer to design and deploy autonomous AI agentic workflows for complex financial planning. You will integrate LLMs into data pipelines and build forecasting models to support strategic decisions.

In this hybrid role, you’ll work with LangChain, LlamaIndex, and Crew AI, ensuring governance, explainability, and auditable architectures while collaborating with cross-functional teams.