Dist Engr-AI/ML Engineering - Verizon

OpenTalent; Tamil Nadu; On-site; INR 400,000 - 700,000; Full time

Job summary

Verizon is seeking a senior DMTS - AI/ML Engineering to lead the enterprise AI governance ecosystem within the AI Platforms and AI Governance organization. The role focuses on unifying AI development platforms with safety, compliance hubs, and automated guardrails to accelerate responsible AI at scale.

The candidate will partner with VP/SVP-level executives across Legal, InfoSec, and Responsible AI, guiding BU AI product owners and leading a team of AI engineers and scientists.

Responsibilities

• Lead a dedicated engineering pod to own the overarching E2E AI governance architecture.
• Architect and drive the vision of the Enterprise E2E AI Control Plane and Registration System.
• Collaborate with Legal, InfoSec and Responsible AI teams to define guardrails and governance standards.
• Operationalize and govern the 4-Quadrant Enterprise AI Evaluation Framework (Validate, Observe, Evaluate, Optimize).
• Drive KPIs for AI governance use cases across business units and ensure regulatory compliance.

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.

We are looking for a DMTS - AI/ML Engineering in the AI Platforms and AI Governance organization. The enterprise AI Control Plane team requires strategic lead to build and operate 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 leader will set enterprise standards, negotiate guardrails with executive 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.

What you'll be doing...

In this role, This leader will drive and partner the AI Governance KPIs for use cases driven by BUs. At Verizon, we are at a pivotal point to industrialize our AI capabilities platforms to next-gen standards. This person must have excellent communication and strategic thinking skills, Deep understanding of AI and GenAI concepts and Architectures along with strong technical experience.

This leader acts as the primary strategic bridge across the enterprise. They interact daily with and rely heavily upon VP and SVP-level executives across Legal, Information Security (InfoSec), and Responsible AI (RAI). They partner closely with AI Platform Engineering leaders who build the models, and they guide BU-level AI product owners to ensure compliance. They also direct aspecialized team of AI Engineers and Scientists.

Architect and lead the vision, strategy, and continuous development of the Enterprise E2E AI Control Plane and Reimagined Registration System. Replace manual compliance questionnaires with automated, code-driven guardrails and system telemetry ingestion.

Operationalize and govern the 4-Quadrant Enterprise AI Evaluation Framework (Validate, Observe, Evaluate, Optimize) for all highly autonomous agentic systems, including customer-facing voice agents.

Advanced evaluation metrics (e.g., piloting Tau2 benchmarking for agent simulation)