> Markdown version of [/jobs/ext/1406990-ai-strategy-and-implementation-lead](https://www.wearedevelopers.com/jobs/ext/1406990-ai-strategy-and-implementation-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Strategy and Implementation Lead - **Company:** Verizon Communications Inc. - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Salary:** $115,500.0 - $201,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computer Programming, Databases, Data Cleansing, Python (Programming Language), Data Streaming, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Script Language, Api Management - **Published:** July 23, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/87816209/1 ## About the Role We are seeking a rare "Builder-Consultant" hybrid who possesses the business acumen to advise senior marketing leadership and the technical competency to independently build prompt logic, write code, and configure APIs. You act as a seamless translation layer between the marketing suite and technical systems. You don't wait for a marketer to hand you a technical requirement document; instead, your baseline marketing knowledge allows you to listen to a campaign challenge or a pipeline delay and instinctively deduce the prompt logic, RAG architecture, or automation workflow needed to solve it. Crucially, you are an innate, relentless problem solver who looks past AI hype to design efficient, secure, stable systems focused entirely on delivering measurable business ROI and process efficiency., * Bachelor's degree or four or more years of work experience * Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training. * Experience in marketing operations, management consulting, or tech implementation. * MarTech & Process Optimization Experience: Proven experience mapping integrated marketing pipelines, asset lifecycles, or campaign production workflows. You possess a strong working knowledge of how modern marketing moves from brief to execution, enabling you to pinpoint friction points natively. * Advanced Google AI Proficiency: Hands-on experience developing within Google's enterprise ecosystem (Gemini Advanced, Vertex AI, NotebookLM) alongside deep structural understanding of prompt logic, RAG, and autonomous agent tool-use. * Core Technical Competencies: Practical coding experience with Google Apps Script, Python, or building API integrations to dynamically connect Large Language Models (LLMs) to external data streams. * ROI & Problem-Solving Mindset: A proven track record of independently troubleshooting technical logic/data failures and translating builds into measurable business results (e.g., hours optimized, throughput increase). Even better if you have one or more of the following: * Experience managing high-volume innovation pipelines or scaling digital transformation trackers within a Fortune 20 enterprise framework. * Strong background in data/analysis optimization, including data cleaning, sheet automation, vector database understanding, and large dataset trend analysis. * Proven track record of developing custom multi-agent frameworks, automated workflow templates, or detailed technical enablement documentation. * Exceptional communication skills with the capability to translate complex technical AI application logic clearly into high-level business strategy for non-technical business partners. ## Description As an AI Strategy & Implementation Lead, you will architect, prioritize, and execute a high-volume pipeline of AI initiatives, autonomous workflows, and agentic solutions across Integrated Marketing and Marketing Operations. Operating as a rare "builder-consultant" hybrid, you will translate complex marketing challenges into secure, scalable AI assets. You will bridge the gap between business strategy and hands-on execution, driving enterprise-scale productivity through next-generation AI automation. * Process Discovery & Value Mapping: Proactively embed within integrated marketing teams to shadow creative, media, and campaign workstreams. Map their operational pipelines, identify manual bottlenecks, and independently surface high-value opportunities for AI intervention. * Asset Development: Design, build, and deploy custom Gems, multi-agent orchestrations, and secure RAG (Retrieval-Augmented Generation) workflows. * Platform & Governance: Serve as the resident expert on Google's AI suite (Gemini, Vertex AI, Workspace Studio) while enforcing prompt engineering standards, data privacy, and ethical guardrails. * Scale & SOPs: Identify high-potential, localized workflows and scale them into repeatable, enterprise-wide Deployable Assets and Standard Operating Procedures (SOPs)., Where you'll be workingIn 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. ## Related Videos - [The End of Software as we know it](https://www.wearedevelopers.com/videos/1393-the-end-of-software-as-we-know-it) - [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes) - [RPA in the Public Sector](https://www.wearedevelopers.com/videos/86-rpa-in-the-public-sector) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Anomaly Detection - Using unsupervised Machine Learning for detecting anomalies in customer base](https://www.wearedevelopers.com/videos/6-anomaly-detection-using-unsupervised-machine-learning-for-detecting-anomalies-in-customer-base) ## Related Articles - [Got AI ideas but no money? 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