Principal Engineer - AI/ML Engineer
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Before you apply
Salary$121k – $231k
LocationIrving, Texas; Basking Ridge, New Jersey
Work modehybrid
Typefull-time
SeniorityLead
Experience6+ yrs
Company size10,000+ people
PostedOct 29, 2026 · 1w ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
Bachelor's degree or four or more years of work experience
Six or more years of relevant experience
Experience in LLM operationalization, orchestration frameworks, model evaluation frameworks, agentic workflows, and automated safety testing
Experience in cloud architecture (AWS Bedrock)
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
Skills
AWS Bedrock
Atlas AI
Engram
Agent Registry
Python
Kubernetes
CI/CD
Benefits
Health insurance
Dental
Vision
Short term disability
Long term disability
Basic life insurance
Supplemental life insurance
Ad&d insurance
Identity theft protection
Pet insurance
Group home auto insurance
401(k)
Paid holidays
Personal days
Paid parental leave
Adoption assistance
Tuition assistance
Vacation
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 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.
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Architect and code automated CI/CD governance pipelines that inject Security and RIL (Responsible AI, Integrity, Legal) guardrails directly into the deployment lifecycle.
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Implement advanced agent simulation and continuous real-time observability telemetry for production LLMs.
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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
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Architect Identity & Access Management (IAM) and routing logic within the Agent Gateway to ensure autonomous workflows operate with secure access boundaries.
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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:
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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.
Where you’ll be working
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 Hours
40
Equal Employment Opportunity
Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.
Benefits and Compensation
Our 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.
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