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1d ago

Senior AI Engineer

Verizon Basking Ridge, NJ

Basking Ridge, NJ

1d ago

$101k - $194k/yr Full time Manager Senior Agentic Ai

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Job Description

Verizon is seeking a Senior AI Engineer to design, implement, and scale agentic AI and ML models for the Verizon Consumer Group. The role emphasizes turning architectural concepts into production-grade code with a focus on reliability, performance, and scalable systems. This hybrid position is based in Basking Ridge, New Jersey, combining remote work with in-person office days as needed.

Compensation

Salary range: USD 101,000 to 194,000 per year.

Responsibilities

Design, test, and scale agentic AI/ML solutions, including specialized workflows and LLM-powered systems for VCG platforms.
Integrate AI agent frameworks with existing customer success, digital, and retail channel technologies.
Collaborate with product managers and GTS engineering teams to implement and refine production-grade technical roadmaps.
Participate in engineering code reviews, technical design sessions, and red-teaming exercises to ensure safe and reliable model behaviors.
Optimize model inference pipelines, API endpoints, and data integration layers to meet high-performance consumer demands.
Assist in technical research and rapid prototyping to quickly evaluate and adopt emerging open-source and proprietary AI frameworks.
Contribute to documentation of technical specifications and create materials to showcase pilot performance results.

Requirements

Bachelor's degree or four or more years of work experience.
Four or more years of relevant experience required, demonstrated through work experience and/or military experience.
One or more years of hands-on experience building and tuning AI/ML models or integrating LLM applications.
Experience with software development methodologies (e.g., Agile).
Willingness to travel up to approximately 25% of the time.

Technologies

LangChain
AutoGen
GCP
AWS
Azure
ACSS
Optix
POS
CTI
WorkHub
Performance management Tools
Verint

Benefits

Medical insurance
Dental insurance
Vision insurance
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) matching plan
Company-paid holidays
Personal days
Paid parental leave
Adoption assistance
Tuition assistance
Premium pay options (e.g., overtime, shift differential, holiday pay, allowances)
Vacation days

Where you'll be working

This hybrid role has a defined work location that includes working from home and at least three days per week in the office, as set by the manager. Employees are responsible for maintaining compliance with hybrid work policies.

Scheduled weekly hours

40 hours per week

Equal Employment Opportunity

Verizon is an equal opportunity employer. Qualified applicants are evaluated without regard to veteran status, disability, or other legally protected characteristics.

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5d ago

Cloud AI Engineer, Lead

Zebra Technologies Lincolnshire, IL

Lincolnshire, IL

5d ago

$97k - $145k/yr Full time AI Enablement Artificial Intelligence Automation

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Job Description

Zebra Technologies offers a hybrid work model with flexible hours, strong professional development opportunities, and a commitment to well being and inclusion. In the lead Cloud AI Engineer role, you will design, build, and scale cloud native AI platforms and AI powered tooling across IT Platform Engineering and Cloud Security. You will partner with stakeholders to translate ideas into concrete, rapid proofs of concept, delivering real value through hands on innovation. The role carries a competitive salary range and a robust benefits package designed to support you and your family.

Benefits

Hybrid work model with flexible hours
Summer Flex Fridays and Focus Fridays
Annual companywide well being day
Healthcare, wellness, and traditional insurances
Inclusion networks and ongoing learning and development
Community service days and parental leave
Employee assistance program and paid time off
Cash incentive programs
Compensation: USD 96,800 - 145,200 per year

Responsibilities

Identify and assess emerging opportunities across Platform Engineering and Cloud Infrastructure that align with business needs and cutting edge technology
Perform comprehensive business and systems analyses, translating complex findings into clear user stories, requirements, and actionable concepts
Lead and execute PoCs and hands on delivery to rapidly validate cloud and platform innovations
Research and report on disruptive technologies such as Generative AI, ML, RPA, and virtual agents, offering strategic recommendations for enterprise adoption
Serve as the primary IT Cloud Innovation Liaison, coordinating across innovation and product teams
Plan and facilitate structured ideation sessions to foster collaborative problem solving
Act as an Innovation Evangelist within IT and the broader enterprise to promote modern engineering practices
Track KPIs and provide leadership visibility into progress and business outcomes of innovation initiatives
Establish and maintain a repeatable operating model for cloud-native AI/ML deployment across GCP and Azure, focusing on pipeline architecture, performance, and compliance
Lead and mentor a high performing team of cloud and AI platform engineers toward predictive log analytics, automation (AIOps), and robust cloud data readiness
Translate AI governance, cloud security guardrails, and regulatory requirements into practical specs; integrate PII masking and RBAC into automated CI/CD pipelines
Manage roadmap alignment within the assigned technology portfolios

Requirements

Bachelor's degree in Computer Science, Electronic Engineering, Computer Engineering or a related field
5+ years in an operations style environment (NOC, SOC, MOC, etc.) with hands on troubleshooting of networking, service desk, operations center or cloud based infrastructure
Hands on Google Gemini Enterprise experience with the ability to build and deploy custom agents using the Agent Development Kit (ADK)
Multi cloud and GenAI platform proficiency including Google Cloud Platform (GCP), Azure, OpenAI, and Anthropic
Experience operating in global, heterogeneous cloud and on premises environments
Practical knowledge of large language models, Retrieval Augmented Generation architectures and agentic AI patterns such as Model Context Protocol, tool calling, and orchestration frameworks
Strong scripting or programming capability, particularly Python; software development background is a plus
Proven track record deploying containerized AI solutions using Kubernetes (GKE/AKS), Docker, and robust CI/CD with measurable outcomes such as high availability and latency reduction
Solid understanding of enterprise cloud security, API security, and fine grained identity systems; experience integrating PII masking and RBAC into automated pipelines
Active professional cloud certifications are highly preferred (eg Google Cloud Professional Cloud Architect, Professional ML Engineer or AI Engineer)
Strong Python based automation, infrastructure provisioning (IaC), and automated testing capabilities

Technologies

Google Gemini Enterprise
Agent Development Kit (ADK)
Google Cloud Platform (GCP)
Azure
OpenAI
Anthropic
Kubernetes (GKE/AKS)
Docker
Python

Location

This is a hybrid role requiring a minimum of three days per week on-site at either our Lincolnshire, IL or Holtsville, NY offices.

Preferred Qualifications

Some exposure to AI or ML systems, application security, or API security is a plus
Travel up to 10 percent

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Senior AI Engineer

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