Senior AI Acceleration Product Engineer

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 adding a high-octane, hands-on Senior Manager for AI Product Engineering to lead the technical execution of our "AI-First" internal marketing products. This is a role for a "lead builder" who thrives at the intersection of product logic and production code. You will be the engine room of the AI Acceleration team responsible for taking architectural blueprints and turning them into high-performance, scalable AI agents and data pipelines. We aren't looking for a traditional manager who sits in meetings; we need a technical powerhouse who leads from the IDE, ensuring our AI solutions are fast, accurate, and production-ready.

Responsibilities include...

Tactical Execution & Rapid Development

• Translate high-level AI roadmaps into actionable technical sprints, leading the "build squad" in the daily development of LLM-powered features.

• Personally develop and optimize core components of our AI stack, from complex prompt chains to custom Python-based middleware that connects AI to our marketing engines.

• Maintain a high bar for "ship-ready" code, balancing the need for rapid experimentation with the necessity of stable, scalable software.

Agentic Systems & RAG Optimization

• Lead the hands-on implementation of multi-agent ecosystems, ensuring seamless collaboration between AI agents performing complex marketing tasks.

• Refine and scale RAG (Retrieval-Augmented Generation) pipelines, focusing on optimizing vector database performance and data retrieval accuracy to minimize latency.

• Bridge the gap between data science and product, ensuring our models have the "contextual awareness" needed to serve non-technical marketing users effectively.

Engineering Rigor & MLOps Execution:

• Own the technical backlog for the squad, managing technical debt, model versioning, and environment stability.

• Implement and monitor automated guardrails and "human-in-the-loop" systems to ensure all AI outputs are brand-safe and compliant with privacy standards.

• Track and improve technical success metrics, including throughput, token cost-efficiency, and hallucination rates.

Squad Mentorship & Integration:

• Serve as the "Lead Engineer" for the squad, providing direct mentorship through deep-dive code reviews and hands-on troubleshooting.

• Collaborate with MarTech and Data teams to ensure AI products integrate seamlessly with our CRM, CMS, and cloud data warehouses (BigQuery/Snowflake).

Where You'll Be Working...In this hybrid role, you must reside within a commuting distance to one of the work locations listed on this position, and your work will include work from home and assigned office days set by your manager.

What We're Looking For...The ideal candidate is a Product-Minded Engineer who is obsessed with the "How." You are likely a Senior or Staff Engineer who has a knack for product ownership, or a Technical PM who spends their weekends building with the latest AI frameworks. You prefer a working prototype over a polished slide deck and believe that "done is better than perfect," provided the code is clean and the metrics are tracked.

You'll need to have...

• Bachelor's degree or four or more years of work experience.

• Six or more years of relevant work experience.

• Three or more years of hands-on experience building and deploying Machine Learning or Generative AI applications in a production environment.

• Experience working every day in Python and with frameworks like LangChain, LlamaIndex, or Haystack.

• Experience leading engineering squads or small technical teams through successful product launches.

Even better if you also have...

• Eight or more years of total experience, with at least 3 years of hands-on experience building and deploying Machine Learning or Generative AI applications in a production environment.

• Mastery of the AI Stack: Deep proficiency in Python and extensive experience with frameworks like LangChain, LlamaIndex, or Haystack.

• Bachelor's degree in Computer Science, AI, or a related technical field.

• Experience fine-tuning open-source models for specific domain tasks.

• Expertise in Vector Databases (Pinecone, Weaviate, Milvus) and optimizing high-dimensional search.

• Prior experience in Marketing Technology (MarTech) or B2B SaaS environments.

• Knowledge of MLOps tooling (Weights & Biases, MLflow, or LangSmith) for tracking experiment performance.

• A GitHub portfolio or public contributions to AI/LLM open-source projects.

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

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.