Senior Manager – AI Engineering, Enterprise Strategy

Verizon

. Define the technical strategy and architectural blueprint for real-time, fully autonomous and agentic AI across mission-critical applications .

Posted 11/12/2026full-timeUnited StatesSenior💰 $126,000 - $242,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining technical strategies and architectural blueprints for autonomous AI systems, with a strong focus on compliance, safety standards, and governance frameworks. Proven ability to lead high-performing teams in designing and deploying production-grade AI solutions across mission-critical applications.

Highest-signal resume keywords

AI Science/ML EngineeringDistributed Systems ArchitectureReal-Time Production-Grade FrameworksCross-Functional Governance ExperienceExecutive Influence

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI ArchitectureMachine Learning EngineeringReal-Time Voice AgentsMulti-Agent FrameworksData Science ModelsLow-Latency OrchestrationDeterministic GuardrailsSemantic FirewallsModel Governance PlatformsNIST AI RMF Compliance

Soft Skills

LeadershipTeam ManagementConsultationStrategic PlanningCross-Functional Collaboration

Tools & Technologies

AWSGCPBig Data ToolsExecutive DashboardsAI Registration Hubs4-Quadrant AI Evaluation Architecture

Certifications & Qualifications

Bachelor's DegreeMaster's DegreePhD in Computer Science or AI Science

Industry Keywords

Agentic AIAutonomous WorkflowsAI Safety StandardsZero-Trust IAM/RBACFrontier Model Safety Evaluations

Tech Stack

Tools & technologies

AWSCloudCyber SecurityDistributed SystemsFirewallsGoogle Cloud Platform

About the role

Key responsibilities & impact

Define the technical strategy and architectural blueprint for real-time, fully autonomous and agentic AI across mission-critical applications
Lead a specialized team of Principal AI Engineers and Scientists
Serve as the primary agentic and autonomous AI strategic bridge across the enterprise
Consult and advise on AI architecture, engineering, safety, and cybersecurity
Partner with VP and SVP leaders across Business Units, Legal, Information Security, Responsible AI, and AI Platform Engineering
Ensure AI product owners follow compliance requirements
Apply Verizon compliance policies, RIL frameworks, and industry AI safety standards such as NIST AI RMF
Use executive dashboards, AWS/GCP cloud governance frameworks, AI registration hubs, and the 4-Quadrant AI Evaluation architecture to make go/no-go deployment decisions
Leverage big data tools and programming frameworks to transform pipeline data into scalable data science models
Plan work and divide it among team members
Ensure production ML tasks operate properly and data science code remains maintainable and scalable
Establish evaluation architectures, real-time telemetry standards, and model governance platforms for autonomous voice and workflow agents

Requirements

What you’ll need

Bachelor’s degree or six or more years of work experience
Ten or more years of relevant experience through work, military experience, or specialized training
Four or more years of experience in AI Science/ML engineering or distributed systems architecture
Three or more years of managing high-performing engineering/AI teams
Experience designing and scaling real-time, production-grade agentic frameworks and autonomous workflows
Experience solving architectural challenges involving Non-Human-in-the-Loop execution, state management, and low-latency voice/multi-agent orchestration
Experience bridging technical realities with corporate governance policies and frameworks such as NIST AI RMF
Experience designing and shipping production-grade multi-agent frameworks such as LangGraph, AutoGen, and MCP
Experience with deterministic guardrails, semantic firewalls, and real-time circuit breakers
Preferred: experience in AI/GenAI architecture, LLMOps, enterprise risk management, and distributed systems
Preferred: Master’s or PhD in Computer Science or AI Science
Preferred: ten or more years of Software Engineering, AI Science and Engineering
Proven executive influence and cross-functional governance experience at VP/SVP level across Legal, Information Security, and Responsible AI
Experience governing low-latency, real-time voice agents or customer-facing conversational AI at massive consumer scale
Familiarity with frontier model safety evaluations, red-teaming methodologies, and zero-trust IAM/RBAC architectures for autonomous non-human identities

Benefits

Comp & perks

Medical, dental, and vision benefits
Short- and long-term disability insurance
Basic life insurance
Supplemental life insurance
AD&D insurance
Identity theft protection
Pet insurance
Group home and auto insurance
Matched 401(k) savings plan
Up to 8 company-paid holidays per year
Up to 6 personal days per year
Paid parental leave
Adoption assistance
Tuition assistance
Premium pay such as overtime, shift differential, holiday pay, and allowances, depending on the role
Up to 15 days of vacation per year for newly hired employees, increasing with additional service
Award-winning total rewards package