AI Workflow Engineer

Verizon

. Develop and deploy autonomous AI agentic workflows for complex financial planning and analytical processes .

Posted 9/24/2026full-timeUnited StatesMid-LevelSenior💰 $81,000 - $155,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying autonomous AI workflows and RAG systems for financial applications, with a strong focus on compliance, explainability, and data governance. Proficient in integrating LLMs into financial data pipelines and optimizing machine learning models for accurate forecasting.

Highest-signal resume keywords

AI/ML Application DevelopmentPython-Based AI DevelopmentLLM Orchestration FrameworksData Governance and ComplianceFinancial Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Autonomous AI WorkflowsRetrieval-Augmented Generation (RAG)Large Language Models (LLMs)Machine Learning ModelsForecasting AccuracySQLSparkSplunkDescriptive AnalyticsPredictive Analytics

Soft Skills

Interpersonal SkillsVerbal CommunicationWritten CommunicationCollaboration

Tools & Technologies

LangChainLlamaIndexCrew AIVector Databases

Industry Keywords

Financial PlanningFinancial ComplianceData GovernanceModel Explainability

Tech Stack

Tools & technologies

PythonSparkSplunkSQL

About the role

Key responsibilities & impact

Develop and deploy autonomous AI agentic workflows for complex financial planning and analytical processes
Implement and optimize Retrieval-Augmented Generation (RAG) systems for financial decision-making
Integrate Large Language Models (LLMs) into financial data pipelines
Improve forecasting accuracy and reduce manual processing time
Ensure AI-driven financial workflows are auditable, explainable, and compliant with financial data governance standards
Design and build autonomous LLM-based agents using advanced prompt engineering
Build machine learning models forecasting revenue, EBITDA, and other financial metrics
Drive machine learning applications addressing business problems within forecasting, involuntary churn and bad debt, and credit optimization

Requirements

What you’ll need

Bachelor's degree or four or more years of work experience
Four or more years of relevant work, military, or specialized training experience
Four or more years of experience in AI/ML application development
Strong experience building and deploying autonomous AI agentic workflows and RAG pipelines
Proficiency in Python-based AI development
Hands-on experience with LLM orchestration frameworks such as LangChain, LlamaIndex, or Crew AI
Experience with modern vector databases
Ability to translate complex financial business logic into robust, scalable, and auditable AI architectures
Strong understanding of data governance, model explainability, and financial compliance standards preferred
Knowledge of SQL, Spark, and Splunk preferred
Experience in descriptive, predictive, and prescriptive analytics in finance preferred
Experience augmenting and fine-tuning LLM solutions preferred
Excellent interpersonal, verbal, and written communication skills
Ability to work in a fast-paced, collaborative environment

Benefits

Comp & perks

Medical, dental, and vision insurance
Short- and long-term disability insurance
Basic and supplemental life insurance
AD&D insurance
Identity theft protection
Pet insurance
Group home and auto insurance
Matched 401(k) savings plan
Up to 8 company-paid holidays per year
Up to 6 personal days per year
Paid parental leave
Adoption assistance
Tuition assistance
Other incentives
Potential premium pay, including overtime, shift differential, holiday pay, and allowances
Up to 15 days of vacation per year for newly hired employees, increasing with additional service