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 and safety standards. Proven ability to lead high-performing teams and bridge technical solutions with corporate governance across various stakeholders.

Highest-signal resume keywords

AI Science/ML EngineeringReal-Time Production-Grade FrameworksTeam ManagementNIST AI RMF ComplianceSoftware Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI ArchitectureMachine Learning EngineeringDistributed Systems ArchitectureMulti-Agent FrameworksData Science ModelsLow-Latency Voice OrchestrationDeterministic GuardrailsSemantic FirewallsReal-Time Circuit BreakersLLMOps

Soft Skills

Executive InfluenceCross-Functional CollaborationStrategic Consultation

Tools & Technologies

AWSGCPEngramAgent RegistryExecutive Dashboards

Certifications & Qualifications

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

Industry Keywords

AI Safety StandardsCorporate Compliance PoliciesRIL FrameworksFrontier Model Safety EvaluationsZero-Trust IAM/RBAC Architectures

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 technical AI architecture, engineering, safety, and cybersecurity
Partner with AI Platform Engineering leaders and BU-level AI product owners to ensure compliance
Collaborate with VP and SVP executives across Legal, Information Security, and Responsible AI
Apply corporate compliance policies, RIL frameworks, and AI safety standards such as NIST AI RMF
Use executive dashboards, AWS/GCP cloud governance frameworks, Engram, Agent Registry, and the 4-Quadrant AI Evaluation architecture to make go/no-go deployment decisions
Leverage big data tools and programming frameworks to transform raw pipeline data into scalable data science models
Plan work and divide it among team employees
Ensure production ML tasks operate properly and data science code remains maintainable and scalable

Requirements

What you’ll need

Bachelor’s degree or six or more years of work experience
Ten or more years of relevant experience, demonstrated through work and/or 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, including NHITL 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, or MCP
Experience implementing deterministic guardrails, semantic firewalls, and real-time circuit breakers
Experience in AI/GenAI architecture, LLMOps, enterprise risk management, and distributed systems is preferred
Master’s or PhD in Computer Science or AI Science is preferred
Ten or more years of Software Engineering, AI Science and Engineering is preferred
Proven executive influence and cross-functional governance across Legal, InfoSec, and RAI
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 insurance
Short- and long-term disability insurance
Basic life insurance
Supplemental life insurance
AD&D insurance
Identity theft protection
Pet insurance
Group home & 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
Other incentives
Potential premium pay such as overtime, shift differential, holiday pay, and allowances
Up to 15 days of vacation per year for newly hired employees, increasing with additional service