Jobs at Verizon

Manage direct and indirect tax compliance, statutory filings, tax accounting, transfer pricing, audits, assessments, and reporting for entities in India and APAC. Ensure compliance with Indian tax laws, IND AS, and US GAAP while supporting tax projects, system implementations, internal controls, and cross-functional tax inquiries. Coordinate with internal teams and external advisors on tax notices, refunds, litigation, and customer-facing taxation issues.

Leads the architecture, development, and deployment of agentic AI, LLM, and traditional machine learning solutions. Designs production systems using Python, LangChain, LangGraph, MCP, APIs, databases, and Kafka. Translates business needs into scalable architectures, establishes AI evaluation and observability frameworks, promotes privacy and governance, mentors engineers and data scientists, and drives proofs of concept and emerging AI initiatives across enterprise projects.

Leads the architecture, development, deployment, and optimization of enterprise AI and machine learning solutions, including generative AI, RAG, and autonomous agent systems. Integrates LLM APIs, builds statistical and ML pipelines, implements MLOps and observability, advises clients and executives, promotes responsible AI and security practices, and mentors engineers and data scientists. The role requires strong consulting, communication, and technical leadership skills, along with production AI experience.

Design, develop, and optimize AI, SLM/LLM, and agentic solutions. Implement and tune algorithms and large-scale distributed training, orchestrate model fine-tuning and serving, analyze performance, define APIs, and communicate technical outcomes to non-technical stakeholders.

Design and build predictive and prescriptive models (churn, segmentation, survival, forecasting), run experiments (A/B, multi-armed bandit), deploy cloud-based solutions (PySpark on AWS/GCP), synthesize insights, and collaborate cross-functionally to inform marketing, finance, and operations decisions.

Build, deploy, and manage end-to-end AI services for traditional and generative AI use cases. Design scalable AI/ML pipelines, distributed computing systems, and model-serving solutions. Develop and optimize deep learning and generative AI algorithms, including real-time and multimodal models. Work with cloud AI platforms, containerization, Kubernetes, CI/CD, and large-scale training systems while collaborating with cross-functional teams.

Investigate and analyze account takeover threats, cybersecurity incidents, suspected fraud, and emerging risks across Verizon’s consumer business. Responsibilities include threat triage, detection, mitigation, root-cause analysis, post-mortems, control implementation, confidential investigations, data analysis, and coordination with legal, HR, corporate security, and law enforcement stakeholders. The role also provides guidance to cybersecurity team members and communicates risk concepts to technical and nontechnical audiences.

Investigates and responds to cybersecurity incidents, triages and prioritizes security events, coordinates remediation, and serves as incident commander for low- to moderate-complexity incidents. The role supports high-priority investigations, maintains compliance and executive reporting records, drafts customer and stakeholder communications, improves incident response processes, and develops technical documentation and runbooks.

Assess customer cardholder-data systems against security and compliance standards, identify vulnerabilities, recommend security improvements, and manage customer engagements. The role requires information security consulting experience, hands-on security technology expertise, PCI compliance knowledge, and travel up to 75%.

Develops advanced automation scripts and AI engineering solutions using Python and related languages. Integrates generative AI APIs, prompt chains, RAG architectures, and model evaluation into scalable applications and CI/CD pipelines. Builds microservices, APIs, monitoring dashboards, and intelligent process automation while collaborating with engineering, data science, and security teams. The role also emphasizes code quality, testing, responsible AI practices, and production performance optimization.

Manage enterprise vulnerability scanning across networks, cloud environments, and applications. Assess and prioritize vulnerabilities using CVSS, threat intelligence, asset criticality, and business impact; coordinate remediation with IT, engineering, and cloud teams; automate workflows; produce risk and SLA reports; and monitor emerging exploits and mitigation strategies.

Leads the architecture, development, and deployment of large-scale AI/ML, generative AI, and agentic systems. Responsibilities include designing end-to-end ML pipelines, fine-tuning and evaluating LLMs, mentoring data science and engineering teams, establishing secure and ethical AI practices, and providing technical thought leadership. The role also covers model monitoring, MLOps, distributed infrastructure, conversational data analysis, cross-functional collaboration, and adoption of emerging AI technologies.

Leads architecture, development, deployment, and optimization of large-scale AI/ML, generative AI, and agentic systems. Oversees data pipelines, model training, monitoring, validation, and lifecycle practices while mentoring data science and engineering teams. Partners with product and business stakeholders, establishes secure and ethical AI standards, analyzes conversational data, evaluates emerging technologies, and provides technical thought leadership on scalable model architectures and MLOps.

Designs, deploys, and manages end-to-end AI/ML, Generative AI, and Agentic AI solutions for telecom financial operations. Builds data pipelines, advanced SQL queries, statistical and machine learning models, and MLOps/LLMOps workflows using Python, GCP, BigQuery, and related tools. Translates model outputs into actionable insights for finance leaders while automating forecasting, profitability, credit, cash flow, and other financial processes.