AI Acceleration Product Architect

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We are adding a strategic and technical Product Management Architect for AI Acceleration to serve as the primary architect for key "AI-First" internal marketing products. This is a high-impact, hybrid role for a "player-coach" who refuses to choose between strategy and code. You will not just own the roadmap, you will lead the technical development of agentic workflows, conversational data interfaces, and automated content engines. You will be responsible for the full lifecycle: from identifying $100M+ growth opportunities with leadership to personally engineering the LLM guardrails and MLOps pipelines that bring those opportunities to life. We are not looking for someone to manage a team that builds; we are looking for the lead builder who sets the standard for the organization.

Responsibilities include...

Strategic Vision & Hands-On Prototyping

• Own the long-term AI product vision, identifying high-friction areas in marketing (e.g., audience discovery) and architecting AI-powered solutions to solve them.

• Lead rapid prototyping (POCs) by personally developing initial versions of AI agents, using Python, LangChain, or similar frameworks to prove value before scaling.

• Prioritize the AI backlog, making decisive trade-offs based on both business impact and technical feasibility.

Full-Stack AI Development & Ownership

• Build and maintain the core AI capabilities ensuring they are scalable, reusable, and have easy integration across common marketing/sales tech stacks.

• Engineer RAG pipelines and context-aware systems that democratize data access for non-technical users, reducing "time-to-insight" from weeks to minutes.

• Act as the Lead Product Owner and Engineer, maintaining a consolidated backlog that balances new feature code, technical debt, and model optimization.

Governance, Safety & MLOps

• Develop and code automated "human-in-the-loop" guardrails to ensure all AI-generated content meets legal, privacy, and brand-safety standards.

• Establish MLOps best practices for the squad, including versioning datasets, monitoring model drift, and managing deployment cycles.

• Define and track Success Metrics that matter: from 20% capacity unlocks (FTE) to technical KPIs like throughput and hallucination rates.

Technical Leadership & Evangelism

• Serve as the technical authority for the "build squad," providing mentorship through code reviews and architectural guidance.

• Communicate complex technical trade-offs to non-technical stakeholders, evangelizing AI solutions to drive organization-wide adoption.

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 technical architect with a business brain. You are likely an engineer who found yourself obsessed with the "why" and "how much value," or a Product Manager who never stopped coding and started building their own tools. You thrive in ambiguity and prefer shipping code to making slide decks. You are a "systems thinker" who understands that a great model is useless without a great workflow around it.

You'll need to have...

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

• Six or more years of relevant work experience.

• Six or more years of hands-on experience building/deploying Machine Learning or AI systems or proven track record as a Product Owner/Manager, with the ability to manage a complex, technical backlog and lead engineering squads.

• Experience working with LLM architectures, Prompt Engineering, and RAG systems as a daily part of your current role.

Even better if you have one or more of the following...

• Twelve or more years of total experience, with at least five years of hands-on experience building/deploying Machine Learning or AI systems or proven track record as a Product Owner/Manager, with the ability to manage a complex, technical backlog and lead engineering squads.

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

• Advanced proficiency in Python and experience with AI frameworks (LangChain, LlamaIndex, PyTorch, or TensorFlow).

• Experience building "Agentic" ecosystems where multiple AI agents collaborate on complex tasks.

• Experience with Cloud Data stacks (BigQuery, Snowflake) and integrating AI into enterprise MarTech (CRM, CMS).

• Prior experience in B2B Marketing tech stacks, specifically for ecommerce or personalization.

• Knowledge of Privacy-Enhancing Technologies (PETs) and global AI regulations (GDPR/CCPA).

• Contributions to open-source AI projects or a portfolio of deployed generative AI applications.

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.