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Senior Manager - AI Engineering & Enterprise Strategy

Verizon

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7,334 open engineering roles across 749 companies are on ApplySarthi right now, most of them in Bengaluru (372), Hyderabad (139), Chennai (76).

What engineering roles keep asking for: Python (22%), AWS (20%), Observability (14%), System design (13%), CI/CD (12%) — counted across their open postings here.

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Verizon has 1,457 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for engineering roles keep coming back to Python, AWS, Observability, System design. Practise those questions before you sit with Verizon.

Questions you are likely to be asked

  1. Why do you want to join Verizon?
  2. What is your experience with System design? Tell me one thing you learned the hard way.
  3. When would you not use machine learning for a problem?
  4. Walk me through a model you built, from the data to how it was used.
  5. How did you know your model was actually good, and not just good on your test set?

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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. Why Verizon? Most enterprise AI leaders are still helping teams build human-assisted copilots and isolated prototypes. At Verizon, you’ll define the technical strategy and architectural blueprint for deploying real-time, fully autonomous and agentic AI across hundreds of mission-critical applications—where humans aren't always in the loop. Leading a specialized team of Principal AI Engineers and Scientists, you’ll design the enterprise-wide evaluation architectures, real-time telemetry standards, and model governance platforms that prove autonomous voice and workflow agents are accurate, reliable, and ready for production scale. Just as importantly, you’ll partner daily with VP and SVP leaders across Business Units, Legal, and AI Platform Engineering to translate complex system capabilities into clear go/no-go rollout strategies. If you’re a technical AI leader who wants to shape how a Fortune 20 enterprise safely scales autonomous, real-time agentic systems from end to end, this is your seat at the table. What you’ll be doing... You are the primary agentic and autonomous AI strategic bridge across the enterprise. You have the technical AI architecture and engineering experience, combined with a passion for safety and cybersecurity to be able to consult and advise on both. You'll interact daily with, and rely heavily upon, VP and SVP-level executives across Legal, Information Security (InfoSec), and Responsible AI (RAI). You'll lead a team of talented Principal AI Engineers/Architects. In this role, you will.... Partner closely with AI Platform Engineering leaders who build the models, and they guide BU-level AI product owners to ensure compliance. Direct a specialized team of Principal AI Engineers and Scientists Rely on Verizon's corporate compliance policies, RIL (Responsible AI, Integrity, Legal) frameworks, and industry AI safety standards (e.g., NIST AI RMF). Utilizes executive dashboards, cloud governance frameworks (AWS/GCP), AI registration hubs (Engram, Agent Registry), and the 4-Quadrant AI Evaluation architecture to make strategic go/no-go deployment decisions. Responsible for the leveraging of big data tools and programming frameworks to ensure that the raw data gathered from data pipelines are redefined as data science models that are ready to scale as needed. Manages a team of employees including planning work and dividing it among employees. Ensures that production ML tasks are working properly and that data science code is maintainable and scalable using subject matter expertise. What we’re looking for... You’ll need to have: Bachelor’s degree or six or more years of work experience. Ten or more years of relevant experience required, demonstrated through one or a combination of 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—specifically solving the architectural challenges of Non-Human-in-the-Loop (NHITL) execution, state management, and low-latency voice/multi-agent orchestration. Experience bridging deep technical realities with corporate governance policies and frameworks (such as NIST AI RMF) to drive decisive go/no-go deployment strategies. Experience designing and shipping production-grade multi-agent frameworks (e.g., LangGraph, AutoGen, MCP) and the deterministic guardrails, semantic firewalls, and real-time circuit breakers required to catch hallucinations, stop rogue agent loops, and enforce accuracy without a human in the loop. Even better if you have one or more of the following: Experience in AI/GenAI architecture, LLMOps, enterprise risk management, and distributed systems. Masters or PhD in Computer Science or AI Science Ten or more years of Software Engineering, AI Science and Engineering Proven track record of executive influence & cross-functional governance, serving as a strategic bridge between deep technical teams and senior leadership (VP/SVP level) across Legal, Information Security (InfoSec), and Responsible AI (RAI)—translating technical model risks into clear, defensible go/no-go production deployment decisions. 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. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics. Benefits and Compensation Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, up to 8 company paid holidays per year and up to 6 personal days per year, paid parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances. The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours. The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $126,000.00 - $242,000.00. The annual salary range for the Illinois location(s) listed on this job requisition based on a full-time schedule is: $138,500.00 - $242,000.00. Verizon will consider qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

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Listed on workday · posted 2026-11-12. ApplySarthi collects openings and links to application pages; the role is advertised by Verizon, not by us.