The Transformation Data Science  team addresses high-impact, analytically driven projects focused within three core pillars: Forecasting, Involuntary Churn & Bad Debt and Credit optimization. In the role of AI Workflow Engineer, you will be:

• 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 accurate, context-aware insights for financial decision-making.
• Integrating Large Language Models (LLMs) into existing 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.

You have strong analytical skills and coding skills, with specific experience in LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Crew AI), RAG pipelines, and building agentic systems. You are proficient in modern vector databases and Python-based AI development. You possess a strategic mindset for balancing AI innovation with financial risk management and operational efficiency, and are eager to work in a collaborative environment to drive ML applications in business problems.

You'll need to have:

• Bachelor's degree or four or more years of work experience.
• Four or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
• Four or more years of experience in AI/ML application development.
• Strong experience in building and deploying autonomous AI agentic workflows and RAG pipelines.
• Proficiency in modern Python-based AI development, including hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Crew AI) and vector databases.
• Demonstrated ability to translate complex financial business logic into robust, scalable, and auditable AI architectures.

Even better if you have one or more of the following:

• Proven strong understanding of data governance, model explainability, and compliance standards within financial systems.
• Knowledge of big data tools (SQL, Spark, and Splunk), i.e., manipulating, mining data from these systems.
• Work experience in descriptive, predictive, and prescriptive analytics in financial area.
• Experience in augmenting, fine tuning LLM solutions.
• Excellent interpersonal, verbal, and written communication skills, with the ability to thrive in a fast-paced, collaborative environment.

If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.

Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, up to 8 company paid holidays per year and up to 6 personal days per year, paid parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.