Analyst III-Threat Intel

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 Verizon Cyber Security (VCS) organization securely enables the business by protecting assets and information across Verizon networks, infrastructure and applications. VCS integrates cybersecurity governance, policies, technologies and operations across Verizon, and works to incorporate security into the design of technology systems and services. The Script Developer & AI Expert is part of the Verizon Engineering & Technology team driving innovation, automation, and AI adoption across enterprise platforms. Serving as a core technical contributor, you will be responsible for building advanced automation scripts and executing scalable software engineering practices. Advanced Scripting & Automation: Designing, implementing, and maintaining complex automation scripts and toolsets using Python, Bash, Node.js, or Java. Prompt Engineering: Constructing, testing, and optimizing advanced prompt structures and chains (LangChain, LlamaIndex) to drive high-accuracy AI responses and tasks. Scalable Software Engineering: Building scalable microservices, clean APIs, and maintainable software architectures adhering to enterprise design patterns. CI/CD & DevOps Integration: Embedding automated AI testing and scripting tools directly into CI/CD deployment pipelines (Jenkins, GitLab CI, GitHub Actions). Process Automation: Identifying manual, operational bottlenecks and develop end-to-end intelligent automation solutions to streamline business processes. Data Pipeline & Model Evaluation: Preparing, cleaning, and managing datasets for model fine-tuning, RAG (Retrieval-Augmented Generation) architectures, and output validation. Collaboration & Best Practices: Partnering with software engineers, data scientists, and security teams to promote modern AI engineering standards and responsible AI practices. Code Reviews & Optimization: Conducting peer code reviews for custom scripts and prompt routines to ensure code quality, efficiency, and scalability. Monitoring & Performance: Establishing monitoring dashboards for AI model latency, token usage, automation execution speed, and operational metrics. What we’re looking for... You’ll need to have: Bachelor’s degree or three or more years of work experience Three or more years of relevant work experience Extensive experience writing advanced automation scripts in Python, JavaScript/TypeScript, Bash, or PowerShell. Hands-on experience integrating LLMs and generative AI APIs (e.g., OpenAI, Anthropic, Bedrock, Vertex AI) into production applications. Demonstrated knowledge of prompt engineering techniques, prompt chaining, and frameworks like LangChain or LlamaIndex. Solid background in scalable software engineering practices, REST API development, and object-oriented or functional programming. Experience with modern CI/CD tools (Jenkins, GitHub Actions, GitLab CI) and Git workflows for automated deployment. Strong problem-solving ability and communication skills to collaborate with technical and non-technical stakeholders. Understanding of software design patterns, unit testing, and maintainable code architectures. Even better if you have one or more of the following: Bachelor’s Degree in relevant field Relevant certifications such as AWS Certified Machine Learning Specialty, Cloud Practitioner, or similar AI/cloud credentials. Ability to drive process improvements and identify gaps Proactive in engaging with customers, client executives and other Verizon teams Ability to excel in a team, as an individual, in a fast-paced deadline driven organization Experience implementing RAG (Retrieval-Augmented Generation) architectures and vector databases (Pinecone, ChromaDB, FAISS). Exposure to cloud platforms (AWS, GCP, or Azure) and containerized execution environments (Docker, Kubernetes). Knowledge of AI security, guardrails, and risk mitigation techniques for automated agent workflows. 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 work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.