Analyst III-Threat Intel

Role overview

Analyst III-Threat Intel at Verizon

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.

Responsibilities

• You’ll need to have:

Employment details

• In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.
• Location: Chennai [India], Hyderabad [India]

About the employer

• When you join Verizon
• The Verizon Cyber Security (VCS) organization securely enables the business by protecting assets and information across Verizon networks, infrastructure and applications.
• The Script Developer & AI Expert is part of the Verizon Engineering & Technology team driving innovation, automation, and AI adoption across enterprise platforms.

Additional role details

• 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...
• VCS integrates cybersecurity governance, policies, technologies and operations across Verizon, and works to incorporate security into the design of technology systems and services.
• 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...
• 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.
• Where you’ll be working
• Scheduled Weekly Hours
• 40
• Verizon is an equal opportunity employer.
• We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.