Verizon · 16 hours ago
Principal AI Security Developer
Basking Ridge, NJ
Full-time
Hybrid
Senior Level, Lead/Staff
$120K/yr - $231K/yr
6+ years expVerizon is a leading telecommunications company that aims to empower individuals through technology. The Principal AI Security Developer will drive the development of AI-driven defensive capabilities, focusing on building secure AI systems to protect infrastructure and automate critical cybersecurity functions.
Communications InfrastructureInternetInternet of ThingsMobileTelecommunications
Responsibilities
Consulting directly with Cyber business leaders to deeply understand operational challenges and proactively ideating, designing, and translating high-level business needs into defined, technical requirements and actionable, high-value AI-powered applications
Ensuring developed AI/ML systems and agentic workflows adhere to Verizon Cybersecurity standards, including secure coding practices, vulnerability management, and the implementation of AI-specific security controls (e.g., addressing prompt injection, data poisoning, and model inversion risks)
Building high-concurrency APIs using FastAPI and developing front end solutions to support ML-based anomaly detections
Designing and deploying AI agents using LangGraph or CrewAI to automate critical Verizon Cybersecurity functions, including incident triage, reputation lookups, evidence evaluation, and report generation
Architecting and maintaining robust data pipelines to support data scientists working on anomaly detection and threat hunting models
Managing large-scale log ingestion and processing capabilities within GCP (utilizing Dataflow and Dataproc) and AWS containerized environments
Deploying applications to containerized environments (Docker/Kubernetes/GKE), managing CI/CD pipelines to ensure reliability, and supporting model deployment evaluation via VertexAI and MLOps practices
Implementing deep instrumentation using OpenTelemetry (OTel) for instrumenting Python applications and manual instrumentation of complex workflows (Spark, AI Agents), while creating Grafana dashboards to visualize metrics, distributed traces, and logs
Qualification
Required
Bachelor's degree or four or more years of work experience
Six or more years of relevant work experience required, demonstrated through one or a combination of job-related work experience, military experience, or specialized training or education (non-collegiate)
Background in Cybersecurity or Anomaly Detection
Experience in Python and/or JavaScript; proven experience working within Agile methodologies
Experience building AI systems and/or multi-agent workflows and/or RAG implementations using frameworks like LangChain, LangGraph, or CrewAI, integrated with Vector Databases (e.g., pgvector) within the VertexAI environment or a similar technology
Backend experience in FastAPI (asynchronous REST APIs) and/or Flask (microservices) combined with experience managing middleware gateways such as Kong, Apigee, or ApiSix or similar technology
Experience with Cloud Service providers (GCP, AWS, etc.) deploying and managing resources therein to include containers, compute instances, logging, etc
Preferred
Data Engineering & Big Data: Knowledge of Python data science libraries (Pandas, NumPy, Scikit-learn)
LLM Production & Security: Demonstrated success integrating LLMs into production workflows, including MCP implementations, security best practices, and OAuth/OIDC authentication standards
Strong background in developing automated testing suites and managing end-to-end deployment pipelines
Experience interacting with SIEM APIs (Splunk, Chronicle, Elastic)
Frontend proven ability with Plotly Dash for complex data visualisation
Experience with GKE Looker
Proficiency in Apache PySpark for writing, optimising, and tuning Spark jobs for large datasets
Experience building complex DAGs using orchestration tools like Apache Airflow or Dagster
Hands-on experience with GCP Data Services, specifically Google Cloud Dataflow (Apache Beam) and Cloud Dataproc
Proficiency with SQL (BigQuery), Kafka, Parquet format, and handling both batch and streaming paradigms
Observability: Experience with OpenTelemetry (OTel). Expertise in Grafana for visualisation. Familiarity with metrics backends such as Prometheus, Google Cloud Monitoring, or similar time-series databases
Benefits
Medical
Dental
Vision
Short and long term disability
Basic life insurance
Supplemental life insurance
AD&D insurance
Identity theft protection
Pet insurance
Group home & 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
Premium pay such as overtime
Shift differential
Holiday pay
Allowances
Company
Verizon
Verizon is a broadband and telecommunications company that provides information and entertainment services.
10001+ employees
H1B Sponsorship
Verizon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7)
2024 (3)
2023 (2)
2022 (6)
2021 (6)
2020 (8)
Funding
Current Stage
Public CompanyTotal Funding
$34.39BKey Investors
Maryland Department of Housing and Community DevelopmentU.S. Department of DefenseConnect Maryland
2025-07-30Post Ipo Debt· $2.29B
2024-06-20Grant· $2M
2024-02-26Post Ipo Debt· $1B
Leadership Team
Daniel Schulman
Chief Executive Officer
Sowmyanarayan Sampath
Chief Executive Officer, Verizon Consumer
Recent News
lightreading
2026-02-06
2026-02-06
Company data provided by crunchbase