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Verizon

AI Workflow Engineer

  • Hybrid

Salary

$81,000/ year

AI summary

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Description

When you join Verizon

You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the VTeamLife.

What you’ll be doing...

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.

Requirements

  • 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.
  • Where you’ll be working
  • In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.
  • Scheduled Weekly Hours
  • 40

Benefits

  • 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.
  • The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours.
  • The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $81,000.00 - $155,000.00.

Where you’d work

Hybrid, 3 days a week in the office

You can work from

  • United States

About the company

Verizon

Office in United States

Also hiring in New York, United States, Ireland, Miami, United States and 12 more places

1 of their 75 open roles is remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 22 checks run
  • 1 red flag

Still hiring?

15 checks

1 red flag

How crowded?

7 checks

No red flags

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  • Must-haves
Details11 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • SQL
  • LLMs
  • RAG
  • LangChain
  • Vector databases
Type
Full-time
Specialty
ML
Region
United States
Pay period
Annual
Show 6 more factsShow less

Role

Category
Data & Analytics
Specialty
ML
Tech stack
  • Python
  • SQL
  • LLMs
  • RAG
  • LangChain
  • Vector databases

Location

Work model
Hybrid
Region
United States
Office
  • United States
Remote from
  • United States
Days in the office
3 days

Compensation

Salary
$81,000 / year
Pay period
Annual

Employment

Type
Full-time

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