Hybrid AI Workflow Engineer for Financial Forecasting

Verizon; Basking Ridge (NJ); Hybrid; USD 81,000 - 155,000; Full time

Job summary

Verizon is seeking an AI Workflow Engineer in a hybrid role with a strong focus on autonomous AI workflows and RAG pipelines. You will deploy agentic AI solutions for financial planning, integrate LLMs into data pipelines, and ensure governance and auditing for all AI workflows.

Ideal candidates have 4+ years in AI/ML development, experience with LangChain/LlamaIndex/Crew AI, and proficiency in Python and vector databases. Collaboration and communication skills are essential.

Qualifications

• Bachelor's degree or equivalent or more with 4+ years of experience.
• 4+ years in AI/ML application development and related work.
• Experience building autonomous AI agentic workflows and RAG pipelines.
• Proficiency in Python-based AI development and LLM orchestration tools.
• Ability to translate financial logic into robust AI architectures.
• Knowledge of data governance, model explainability and compliance.
• Strong communication and collaboration skills.

Responsibilities

• Developing and deploying autonomous AI agentic workflows for financial planning.
• Implementing Retrieval-Augmented Generation (RAG) systems for insights.
• Integrating LLMs into financial data pipelines to improve forecasting.
• Ensuring auditable, explainable AI workflows with governance standards.
• Designing agents with LLMs and advanced prompt engineering.
• Building ML models for forecasting revenue, EBITDA and metrics.

Skills

AI/ML application development

Autonomous AI workflows

LLM orchestration

Python AI development

AI architectures design

Data governance awareness

Communication skills

Education

Bachelor's degree or equivalent

Tools

LangChain

LlamaIndex

Crew AI

Vector databases

SQL

Spark

Splunk

Python

Job description

Verizon is seeking an AI Workflow Engineer in a hybrid role with a strong focus on autonomous AI workflows and RAG pipelines. You will deploy agentic AI solutions for financial planning, integrate LLMs into data pipelines, and ensure governance and auditing for all AI workflows.

Ideal candidates have 4+ years in AI/ML development, experience with LangChain/LlamaIndex/Crew AI, and proficiency in Python and vector databases. Collaboration and communication skills are essential.