AI Acceleration Product Architect
About the position
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. 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
• 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.
Requirements
• 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.
Nice-to-haves
• 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.
Benefits
• 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
• 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
• newly hired employees receive up to 15 days of vacation per year, which grows with additional service
Apply Now
Apply Now
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. 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
• 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.
Requirements
• 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.
Nice-to-haves
• 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.
Benefits
• 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
• 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
• newly hired employees receive up to 15 days of vacation per year, which grows with additional service
Apply Now
Apply Now