What you’ll be doing...The Enterprise AI Control Plane team is looking for a hands-on architectural engineer to build the complex system connecting Verizon’s AI developer platforms (AWS Bedrock, Atlas AI) with our governance hubs (Engram, Agent Registry). This role provides a dedicated builder who architects robust APIs, automated CI/CD guardrails, and real-time observability telemetry to ensure autonomous agents run safely at enterprise scale. - Architect and code automated CI/CD governance pipelines that inject Security and RIL (Responsible AI, Integrity, Legal) guardrails directly into the deployment lifecycle.
- Implement advanced agent simulation and continuous real-time observability telemetry for production LLMs.
- Interacts daily with AI Platform Engineers, DevOps/DataOps teams, Data Scientists, and AI product developers across various Business Units to integrate their models into the governance framework
Architect Identity & Access Management (IAM) and routing logic within the Agent Gateway to ensure autonomous workflows operate with secure access boundaries.
Build robust API integrations connecting developer platforms (Vegas, Atlas AI) seamlessly with Verizon governance hubs (Engram, Agent Registry).
What we’re looking for...You are good with numbers and you love to dig into data to find the story. You are detail-oriented and know how to passionate about what really matters. You understand the importance of accuracy in data analytics and reporting. You are a self-starter and a multitasker who can work independently under tight timelines. You want to make an impact by providing the data that will help improve the experience of our customers.You will need to have:- Bachelor’s degree or four or more years of work experience.
- Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
- Experience in LLM operationalization, orchestration frameworks, model evaluation frameworks, agentic workflows, and automated safety testing.
- Experience in cloud architecture (AWS Bedrock)
Even better if you have one or more of the following:- Masters in Computer Science, AI/ML, or related field.
- Six or more years of platform engineering, as well as applied ML engineering, or AI science
- Advanced skills in programming in Python, Kubernetes
- Advanced knowledge of CI/CD deployment tools
- Knowledge of automated safety testing and Agentic Identity & Access Management
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.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 Hours40
Benefits and CompensationOur 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: $120,500.00 - $231,000.00.
