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AI Workflow Engineer

Verizon

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This role on the market

42 open workflow roles across 26 companies are on ApplySarthi right now, most of them in Hyderabad (2), Delhi NCR (1), Bengaluru (1).

LLMs jobs · LangChain jobs · Machine learning jobs · Python jobs

Verizon has 1,196 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

42 open workflow roles are hiring right now across 26 companies, mostly in Hyderabad — so the questions repeat. Practise them before you sit with Verizon.

Questions you are likely to be asked

  1. Why do you want to join Verizon?
  2. What is your experience with LLMs? Tell me one thing you learned the hard way.
  3. When would you not use machine learning for a problem?
  4. Walk me through a model you built, from the data to how it was used.
  5. How did you know your model was actually good, and not just good on your test set?

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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. What we’re looking for... 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 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics. Benefits and Compensation 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. The annual salary range for the Illinois location(s) listed on this job requisition based on a full-time schedule is: $89,000.00 - $155,000.00.

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Listed on workday · posted 2026-09-24. ApplySarthi collects openings and links to application pages; the role is advertised by Verizon, not by us.