Autonomous AI Workflow Engineer: Financial Forecasting RAG

Verizon; Rolling Meadows (IL); Hybrid; USD 89,000 - 155,000; Full time

Benefits offered by this job

401(k) match

Health insurance

Paid time off

Tuition assistance

Parental leave

Job summary

Verizon is seeking an AI Workflow Engineer to join the Transformation Data Science team. The role focuses on deploying autonomous AI agentic workflows and RAG systems to streamline financial planning and analytics within a hybrid work model.

You will build and deploy LLM-powered solutions, integrate them into existing data pipelines, and ensure auditable, compliant 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 and deploying autonomous AI agentic workflows and RAG pipelines.
• Proficiency in modern Python-based AI development with LLM orchestration frameworks and vector databases.
• Demonstrated ability to translate complex financial business logic into scalable AI architectures.

Responsibilities

• Developing and deploying autonomous AI agentic workflows to streamline financial planning and analytics.
• Implementing and optimizing Retrieval-Augmented Generation (RAG) systems for context-aware insights.
• Integrating LLMs into financial data pipelines to improve forecasting accuracy.
• Ensuring AI-driven workflows are auditable and compliant with governance standards.
• Designing autonomous agents using LLMs and advanced prompt engineering.
• Building ML models for forecasting revenue, EBITDA, and other metrics.

Skills

LLM orchestration frameworks

RAG pipelines

Python AI development

Vector databases

Financial risk management

Cross-functional collaboration

Education

Bachelor's degree or 4+ years experience

Tools

LangChain

LlamaIndex

Crew AI

Job description

Verizon is seeking an AI Workflow Engineer to join the Transformation Data Science team. The role focuses on deploying autonomous AI agentic workflows and RAG systems to streamline financial planning and analytics within a hybrid work model.

You will build and deploy LLM-powered solutions, integrate them into existing data pipelines, and ensure auditable, compliant architectures while collaborating with cross-functional teams.