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Verizon

Principal Engineer - AI/ML Engineer

  • Hybrid
  • 6+ years

Salary

$120,500/ year

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Description

The control plane team is hiring a hands-on architect-engineer to build the system that links the company's AI developer platforms, including AWS Bedrock, to its governance hubs.

You will be the builder who designs the APIs, CI/CD guardrails, and real-time telemetry that let autonomous agents run safely at enterprise scale.

You will work daily with platform engineers, DevOps and DataOps staff, data scientists, and product developers across business units to bring their models under governance.

Responsibilities

  • Design and write automated CI/CD pipelines that build Security and RIL (Responsible AI, Integrity, Legal) guardrails into every deployment.
  • Build agent simulation and continuous real-time observability for production LLMs.
  • Design IAM and routing logic in the Agent Gateway so autonomous workflows stay within secure access boundaries.
  • Build robust APIs that connect the developer platforms with the governance hubs.

Requirements

  • You have a bachelor's degree or four or more years of work experience.
  • You have six or more years of relevant experience, gained through work, military service, specialized training, or a mix of these.
  • You have hands-on experience with LLM operationalization, orchestration frameworks, model evaluation, agentic workflows, and automated safety testing.
  • You have worked in cloud architecture, including AWS Bedrock.
  • You enjoy working with numbers and digging into data to find what it shows.
  • You are detail-oriented and understand that accuracy matters in data analytics and reporting.
  • You work independently, handle several tasks at once, and meet tight timelines.
  • You want to improve customer experience by supplying the data that guides it.
  • Even better: a master's degree in computer science, AI/ML, or a related field.
  • Even better: six or more years of platform engineering plus applied ML engineering or AI science.
  • Even better: advanced Python and Kubernetes skills.
  • Even better: advanced knowledge of CI/CD deployment tools.
  • Even better: knowledge of automated safety testing and agentic identity and access management.
  • You can still apply if you do not meet every "even better" item.

Conditions

This is a hybrid role with a set work location that includes working from home and at least three days a week in the office, as assigned by your manager.

You are responsible for following the hybrid work policies.

Scheduled hours are 40 per week.

The company is an equal opportunity employer.

Benefits

  • Medical, dental, and vision coverage, short- and long-term disability, basic and supplemental life insurance, AD&D insurance, identity theft protection, pet insurance, and group home and auto insurance.
  • A matched 401(k), up to 8 company-paid holidays and up to 6 personal days a year, paid parental leave, adoption assistance, tuition assistance, and other incentives.
  • New hires receive up to 15 days of vacation a year, which increases with service.
  • Depending on the role, premium pay such as overtime, shift differential, holiday pay, and allowances may be available.
  • Part-time coverage varies, and eligibility depends on your individual circumstances.
  • Pay depends on location and on job-related skills and experience confirmed during hiring. The role is incentive-based, with potential to earn more. Part-time pay is adjusted to your hours.
  • Full-time annual salary for the listed location(s): $120,500.00 - $231,000.00.

Where you’d work

Hybrid, 3 days a week in the office

You can work from

  • United States

About the company

Verizon

Offices in Miami, United States, United States

Also hiring in New York, United States, Charlotte, United States, Ireland and 11 more places

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 22 checks run
  • 1 red flag

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15 checks

1 red flag

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7 checks

No red flags

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  • Must-haves
Details13 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • AWS
  • Kubernetes
  • LLMs
Seniority
Principal
Type
Full-time
Specialty
ML
Region
United States
Pay period
Annual
Show 7 more factsShow less

Role

Category
Data & Analytics
Specialty
ML
Seniority
Principal
Experience
6+ years
Tech stack
  • Python
  • AWS
  • Kubernetes
  • LLMs

Location

Work model
Hybrid
Region
United States
Offices
  • Miami, United States
  • United States
Remote from
  • United States
Days in the office
3 days

Compensation

Salary
$120,500 / year
Pay period
Annual

Employment

Type
Full-time

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