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

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and deploying autonomous AI workflows and RAG systems for financial planning, ensuring compliance with data governance standards. Proficient in integrating LLMs into financial data pipelines and building machine learning models for accurate forecasting.

Highest-signal resume keywords

AI/ML Application DevelopmentAutonomous AI Agentic WorkflowsRetrieval-Augmented Generation (RAG)Python-Based AI DevelopmentLLM Orchestration Frameworks

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine Learning ModelsFinancial ForecastingData GovernanceSQLSparkSplunkLLM IntegrationPrompt EngineeringVector DatabasesPredictive Analytics

Soft Skills

Interpersonal SkillsVerbal CommunicationWritten Communication

Tools & Technologies

LangChainLlamaIndexCrew AI

Industry Keywords

Financial PlanningCompliance StandardsModel ExplainabilityBusiness LogicChurn Optimization

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 accurate, context-aware financial insights
Integrate Large Language Models (LLMs) into financial data pipelines to improve forecasting accuracy and reduce manual processing
Ensure AI-driven financial workflows are auditable, explainable, and compliant with financial data governance standards
Design and build autonomous agents using LLMs and advanced prompt engineering
Build machine learning models forecasting revenue, EBITDA, and other financial metrics
Drive ML 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 experience, demonstrated through work and/or military experience or specialized training
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 modern 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
Understanding of data governance, model explainability, and compliance standards within financial systems
Knowledge of SQL, Spark, and Splunk
Work experience in descriptive, predictive, and prescriptive analytics in finance
Experience augmenting and fine-tuning LLM solutions
Excellent interpersonal, verbal, and written communication skills

Benefits

Comp & perks

Medical, dental, and vision insurance
Short- and long-term disability insurance
Basic life insurance
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 such as overtime, shift differential, holiday pay, and allowances
Up to 15 days of vacation per year for newly hired employees, increasing with additional service
Hybrid work arrangement with work-from-home flexibility