Sr Engr Cslt-AI/ML Engineering

Verizon; Hyderabad; Hybrid; INR 4,000,000 - 8,000,000; Full time

Job summary

Verizon is seeking a Senior Engineer Consultant in AI/ML governance within the AI Platforms and AI Governance organization. The role leads an engineering pod to own the enterprise governance architecture, integrating AI development platforms with safety and compliance hubs.

The position aims to automate guardrails and move from manual processes to automated pipelines, including same-session auto-approvals for Verizon AI.

Qualifications

• Bachelor's degree or 6+ years of relevant work experience.
• 5+ years of experience in AI/ML governance or related field.
• Strategic architecture expertise for AI deployment patterns.
• FinOps: manage GPU clusters and compute credits strategically.

Responsibilities

• Architect and code automated governance pipelines that inject guardrails into deployment lifecycle.
• Implement advanced agent simulation and real-time observability for production LLMs.
• Build robust API integrations between developer platforms and governance hubs.
• Architect IAM and routing logic within the Agent Gateway for secure autonomous workflows.
• Foster innovation and develop IP with advanced evaluation metrics (Tau2).

Skills

Strategic Architecture

FinOps

AI/ML governance

Education

Bachelor's degree

Job description

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...

We are looking for a Sr Engr Cslt - AI/ML Engineering in the AI Platforms and AI Governance organization.

The enterprise AI Control Plane team requires Senior Engineer Consultant to be part of the build and operate phase of the foundational E2E AI Governance ecosystem. Currently, AI governance work is fragmented. This role will lead a dedicated engineering pod to own the overarching architecture that integrates AI development platforms with safety and compliance hubs. This role will be part of the team that sets enterprise standards, negotiate guardrails withexecutive risk organizations (Legal, InfoSec, RAI), and transform governance from a manual bottleneck into an automated pipeline, culminating in same-session auto-approvals for Verizon AI.

• Architect and code automated governance pipelines that inject Security and RIL (Responsible AI, Integrity, Legal) guardrails directly into the deployment lifecycle.
• Implement advanced agent simulation (Tau2 benchmark) and continuous real-time observability telemetry for production LLMs.
• Build robust API integrations connecting developer platforms seamlessly with Verizon governance hubs (Engram, Agent Registry).
• Architect Identity & Access Management (IAM) and routing logic within the Agent Gateway to ensure autonomous workflows operate with secure access boundaries
• Foster a culture of scientific innovation, driving the creation of new intellectual property (IP), patents, and advanced evaluation metrics (e.g., piloting Tau2 benchmarking for agent simulation).

In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

What We’re Looking For...

You’ll need to have:

• Bachelor’s degree or Six or more years of work experience.
• Five or more years of relevant experience required, demonstrated through one or a combination of work and/or specialized training.
• Strategic Architecture: Deep expertise in AI solution deployment patterns
• Financial Operations (FinOps): Ability to manage the high costs of GPU clusters and compute credits through strategic resource allocation.
• AI/ML governance practices scaling at enterprise grade

Even better if you have one or more of the following:

• Deep fluency in AI/GenAI architecture and distributed systems.

Where you’ll be working

In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

Scheduled Weekly Hours

0

Equal Employment Opportunity

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.