Verizon — тұтынушыларға, бизнеске және мемлекеттік ұйымдарға сымсыз байланыс, кең жолақты интернет, талшықты-оптикалық желілер және соған қатысты цифрлық қызметтер ұсынатын телекоммуникациялық компания. Оның қызметі мобильді және тіркелген байланыс инфрақұрылымын, бөлшек сауда және онлайн арналарды, сондай-ақ корпоративтік коммуникацияларды қамтиды. Бұл ауқымды байланыс жүйелерін қолдайтын желілік технологиялар, клиенттерге қызмет көрсету, бизнес шешімдері және басқа да бағыттарда жұмыс істейтін мамандарға мүмкіндік береді.
Senior AI/ML Engineering Consultant – Verizon, Chennai Hybrid
Lead Verizon’s enterprise AI governance engineering, from secure deployment pipelines to production LLM observability. Build agent gateways, compliance integrations, and automated controls for large-scale AI systems.
Сипаттама
- Lead an engineering pod through the build and operational phases of Verizon’s end-to-end AI governance ecosystem
- Define the architecture connecting AI development platforms with safety and compliance hubs
- Establish enterprise AI governance standards and align guardrails with Legal, InfoSec, and Responsible AI teams
- Convert manual governance reviews into automated workflows with approvals completed within the same session
- Design and implement deployment pipelines that apply Security, Responsible AI, Integrity, and Legal controls
- Develop advanced agent simulations using the Tau2 benchmark
- Deploy continuous, real-time telemetry for production large language models
- Create APIs linking developer platforms with Verizon governance hubs, including Engram and Agent Registry
- Design identity, access management, and routing controls in the Agent Gateway to secure autonomous workflows
- Advance applied research through intellectual property, patents, and improved evaluation metrics
Талаптар
- A bachelor’s degree or at least six years of professional experience
- At least five years of relevant experience gained through professional work or specialized training
- Strong expertise in deploying AI solutions across different architectural patterns
- Ability to optimize GPU cluster usage and compute-credit spending through strategic resource planning
- Experience applying AI and machine learning governance practices in enterprise environments
- Preferred: strong knowledge of AI and generative AI architecture and distributed systems
- Ability to address AI governance, security, Responsible AI, integrity, and legal controls
- Experience building APIs, IAM and routing logic, and observability for production LLM systems
- Experience with agent simulation and evaluation frameworks, including Tau2 benchmarking
Артықшылықтар
- Hybrid work arrangement with designated work-from-home days
- Office attendance scheduled by the manager